Meteorological-Data-Based Modeling for PV Performance Optimization

Developing a sustainable and reliable photovoltaic (PV) energy system requires a comprehensive analysis of solar profiles and an accurate prediction of solar energy performance at the study site. Installing the PV modules with optimal tilt and azimuth angles has a significant impact on the total irradiance delivered to the PV modules. This paper proposes a comprehensive optimization model to integrate total irradiance models with the PV temperature model to find the optimal year-round installation parameters of PV modules. A novel integration between installation parameters and the annual average solar energy is presented, to produce the maximum energy output. The results suggest an increase in energy yields of 4% compared to the conventional scheme, where tilt angle is equal to the latitude and the PV modules are facing south. This paper uses a real-time dataset for the NEOM region in Saudi Arabia to validate the superiority of the proposed model compared to the conventional scheme, but it can be implemented as a scheme wherever real-time data are available.

Validity and reliability of sustainable supply chain management frameworks in Indian smart manufacturing industries

PurposeSustainable supply chain management (SSCM) ensures integration of socially, environmentally and economically feasible practices in entire supply chain. SSCM principles can be implemented to improve efficiency and productivity of a system by different attributes of the system. The purpose of this article is to identify the most appropriate existing (SSCM) framework that can be implemented suitably in Indian smart manufacturing industries.Design/methodology/approachValidity and reliability analysis on the existing SSCM frameworks was carried out with the help of empirical data collected using questionnaire survey methodology from various Indian smart manufacturing organizations. The empirical data were gathered from various experts from top- and middle-level management in different smart manufacturing organizations across the country. Further, factor analysis was carried on the collected data to estimate the unidimensionality of each SSCM frameworks. Cronbach's alpha value was used to assess reliability of each framework. Subsequently, the frequency distribution analysis was done to obtain familiar elements in the segregated frameworks based on validity and reliability analysis.FindingsThe work observed that only five SSCM frameworks have shown unidimensionality in terms of the elements or constructs. The work further found that these segregated frameworks have not shown sufficiently high level of reliability. Additionally, this work attempted frequency distribution analysis and observed that there were very few elements which were being repeatedly used in numerous frameworks proposed by researchers. Based on the findings of this work, the work concluded that there is acute need of a new SSCM framework for Indian smart manufacturing industries.Research limitations/implicationsThis study gathered empirical data from 388 Indian smart manufacturing organizations. Thus, before generalizing the findings of the study across the sectors, there is a possibility of some more explication.Originality/valueThe main purpose of this article is to explore the feasibility of the existing SSCM frameworks in Indian smart manufacturing sector. The study also assumes that the manufacturing managers and executives may have the complete understanding on the existing sustainable manufacturing frameworks and a chance to executing proper suitable framework in the respective manufacturing organization.

Energy demand supply of small-scale medical centers in epidemic conditions of Covid-19 with hybrid renewable resources

The energy supply of healthcare facilities is of great importance under different circumstances. In this study, supplying the energy of a clinic using maximum renewable resources under normal and crisis conditions is examined. This paper is novel in that it designs an energy system specifically for times of crisis. The proposed clinic is located in two different regions in Iran. This paper considers a solar panel, wind turbine, battery, inverter, and controller for electricity generation from renewable resources, a steam boiler for heating needs, and a diesel generator as a backup system. Scenarios, including changes in the type of controller and the price of different parts, were examined. In the optimal scenario, where the clinic is in normal conditions in terms of patient acceptance, the net present cost and cost of energy were estimated to be $2.57 million and 0.0606 $/kWh for Rasht, and $3.09 million and 0.0732 $/kWh for Shiraz, respectively. In a new scenario, in a critical time of the COVID-19 outbreak, the net present cost and cost of energy were calculated to be $4.29 million and 0.0608$/kWh for Rasht, and $5.31 million and 0.0755 $/kWh for Shiraz, respectively. Also the clinic will generate an annual income of $0.12 million by selling excess energy produced in this scenario during normal conditions. © 2023 The Author(s)

The Differential Effects of Oil Prices on the Development of Renewable Energy in Oil-Importing and Oil-Exporting Countries in Africa

The shift to renewable sources of energy has become a critical economic priority in African countries due to energy challenges. However, investors in the development of renewable energy face problems with decision making due to the existence of multiple criteria, such as oil prices and the associated macroeconomic performance. This study aims to analyze the differential effects of international oil prices and other macroeconomic factors on the development of renewable energy in both oil-importing and oil-exporting countries in Africa. The study uses a panel vector error correction model (P-VECM) to analyze data from five net oil exporters (Algeria, Angola, Egypt, Libya and Nigeria) and five net oil importers (Kenya, Ethiopia, Congo, Mozambique and South Africa). The study finds that higher oil prices positively affect the development of renewable energy in oil-importing countries by making renewable energy more economically competitive. Economic growth is also identified as a major driver of the development of renewable energy. While high-interest rates negatively affect the development of renewable energy in oil-importing countries, it has positive effects in oil-exporting countries. Exchange rates play a crucial role in the development of renewable energy in both types of countries with a negative effect in oil-exporting countries and a positive effect in oil-importing countries. The findings of this study suggest that policymakers should take a holistic approach to the development of renewable energy that considers the complex interplay of factors, such as oil prices, economic growth, interest rates, and exchange rates.

Consequences of the Russia-Ukraine war: evidence from DAX, ATX, and FTSEMIB

PurposeThe Russian invasion of Ukraine generated unprecedented panic in the European financial system. As expected, the European Union (EU) felt most of the negative effects of the war due to geographical proximity to Ukraine and energy dependence on Russia. This study aims to investigate the influence of Brent crude oil (BCO), Dutch Title Transfer Facility Natural Gas, and CBOE Volatility Index (VIX) on Deutscher Aktien Index (DAX), Austrian Traded Index (ATX) and Milano Indice di Borsa (FTSEMIB). The German, Austrian and Italian equity indexes were chosen due to the heavy dependence of these countries on Russian gas and oil.Design/methodology/approachThe data cover the period from November 24, 2021, to June 24, 2022, including five months of the Russia–Ukraine war. To generate the intended results, vector autoregressive, structural vector autoregressive, vector error correction model, Johansen test and Granger causality test were used.FindingsThe results highlight that natural gas and the VIX carried negative effects on DAX, ATX and FTSEMIB. The BCO was expected to have influenced three selected equity indexes, while the results suggest that it was priced only in ATX.Originality/valueThis research provides modest evidence for the policymakers on the systemic risk that Russian gas has for the EU equity markets. From a managerial perspective, changes in oil and gas prices are a permanently integral part of portfolio risk analysis.

Energy policy simulation in times of crisis: Revisiting the impact of renewable and non-renewable energy production on environmental quality in Germany

In this paper, we examine for the first time in the literature the implications of energy policy alternatives for Germany considering the aftermath of coronavirus as well as Electricity and Gas energy supply shortages. Whilst several policy options are open to the government, the choice of investment in renewable energy generation versus disinvestment in non-renewable energy such as coal energy generation provides divergent impacts in the long term. We utilize data from British Petroleum and the World Bank Development Indicator database for Germany covering 1981 to 2020 to explore a Carbon function by applying a battery of Autoregressive distributed lag model (ARDL), dynamic ARDL and Kernel-Based Regularized Least squares approaches. The particular policy tested is the pledge by Germany to decrease emissions by ∼100% in 2050, and this was integrated through the estimation of dynamic ARDL estimation. The simulation result shows that a ＋61% shock in renewable energy production decreases carbon emissions unlike coal energy production which increases carbon emissions in the beginning but the carbon emissions decrease thereafter. The findings highlight the inevitability of cutting down on coal production, and recommends energy investment alternatives. Hence, Germany's energy policy should contemplate more thoroughly on these factors. © 2023 The Author(s)

The Superiority of Coronavirus Optimization Algorithm for Optimal Designing of Photovoltaic/Wind/Fuel Cell Hybrid System Considering Cost Minimization Approach to Improve Reliability

This article proposes the best design for a hybrid system that incorporates wind turbines, solar panels, and fuel cells (FC) to satisfy the load requirement. The design's goal is to reduce the system's energy production costs considering the load supply's reliability. System costs include initial investment costs, operation and maintenance, replacement and replacement costs, and load loss costs. The optimal capacity of the hybrid system's equipment has been calculated with the help of the Coronavirus Optimization Algorithm (COVIDOA). The results obtained from the optimization have been compared and analyzed with those obtained from the Differential Evolution (DE) algorithm. The results have shown that the COVIDOA optimization method, like the DE optimization method, has obtained favourable results. In the COVIDOA method, the system's production costs have increased slightly, but the reliability of the load supply has been improved. Therefore, in the suggested approach, in addition to considering the economic aspect of the design, much attention has been paid to the technical aspect of the design, in other words, the reliability level of the system. © 2023 IEEE.

Guest editorial: Vaccine supply in perspective: from end-to-end supply chains to full-fledged immunization systems

[...]in an End-To-End approach (De Boeck et al., 2019;Lemmens et al., 2016), multiple aspects of the supply network need to be considered and coordinated, in a way that many upstream decisions and aspects in R&D have a considerable impact on the downstream supply network up to the very last mile and point of vaccination. The next paper "Enhancing the Environmental Sustainability of Emergency Humanitarian Medical Cold Chains with Renewable Energy Sources” by Saari extends toward sustainability by focusing on the cold chain aspects of vaccine supply chains. [...]the seventh and closing paper "Modeling a closed-loop vaccine supply chain with transshipments to minimize wastage and threats to the public: a system dynamics approach”, by Andiç-Mortan and Gonul Kochan, shows by means of a causal loop diagram causal relationships with respect to vaccine waste management and the consequential public health threats.

A novel COVID-19 herd immunity-based optimizer for optimal accommodation of solar PV with battery energy storage systems including variation in load and generation

The world has now looked towards installing more renewable energy sources type distributed generation (DG), such as solar photovoltaic DG (SPVDG), because of its advantages to the environment and the quality of power supply it produces. However, these sources' optimal placement and size are determined before their accommodation in the power distribution system (PDS). This is to avoid an increase in power loss and deviations in the voltage profile. Furthermore, in this article, solar PV is integrated with battery energy storage systems (BESS) to compensate for the shortcomings of SPVDG as well as the reduction in peak demand. This paper presented a novel coronavirus herd immunity optimizer algorithm for the optimal accommodation of SPVDG with BESS in the PDS. The proposed algorithm is centered on the herd immunity approach to combat the COVID-19 virus. The problem formulation is focused on the optimal accommodation of SPVDG and BESS to reduce the power loss and enhance the voltage profile of the PDS. Moreover, voltage limits, maximum current limits, and BESS charge-discharge constraints are validated during the optimization. Moreover, the hourly variation of SPVDG generation and load profile with seasonal impact is examined in this study. IEEE 33 and 69 bus PDSs are tested for the development of the presented work. The suggested algorithm showed its effectiveness and accuracy compared to different optimization techniques. © 2023 TÜBÍTAK.

Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization

Before 2020, the way occupants utilized the built environment had been changing slowly towards scenarios in which occupants have more choice and flexibility in where and how they work. The global COVID-19 pandemic accelerated this phenomenon rapidly through lockdowns and hybrid work arrangements. Many occupants and employers are considering keeping some of these flexibility-based strategies due to their benefits and cost impacts. This paper explores how demand-driven control strategies in the built environment might support the transition to increased workplace flexibility by simulating various scenarios related to the operational technologies and policies of a real-world campus using a district-scale City Energy Analyst (CEA) model that is calibrated with measured energy demand data and occupancy profiles extracted from WiFi data. These scenarios demonstrate the energy impact of ramping building operations up and down more rapidly and effectively to the flex-based work strategies that may solidify. The scenarios show a 5–15% decrease in space cooling demand due to occupant absenteeism of 25–75% if centralized building system operation is in place, but as high as 17–63% if occupancy-driven building controls are implemented. The paper discusses technologies and strategies that are important in this paradigm shift of operations. © 2023 The Author(s)

Financial Aspects of Maintaining Business Activities in the Face of Unexpected Changes

In the context of the war, the external environment is characterized by a growing level of uncertainty. Rising energy prices, the closure of airspace in Ukraine, rising inflation, a 30% decline in GDP in 2022, and the destruction of infrastructure as well as supply chains have necessitated adjustments to the company's operations and changes to its financial plan. The research aims to assess the financial aspects of doing business in the face of unexpected changes. The research methodology is based on the case study of a company that supplies energy resources to Ukraine. The main research methods used are in-depth interviews with the staff to assess the existing strategy, employee motivation system, efficiency of the organizational structure, and financial aspects of the company's activities. The results demonstrate that an important stage in the development of a financial plan in wartime is the audit of business activities. It includes an understanding of the current state of the organizational, financial, and human aspects of the company's functioning. An in-depth interview with the company's personnel shows the level of effectiveness of the interaction of all these aspects of the business. Changes in the financial system involve organizational changes: company structure, motivation system, customer interaction, and service improvement. The study shows that the interaction of organizational, financial, and motivational components contributed to the synergy of the company's resources and their mobilization in the face of the growing risks of a company's crisis. Financial planning by business segments and precision in the distribution of employees' responsibilities increases the level of motivation and involvement of staff in all business processes. Moreover, the distribution of centers and areas of responsibility should be linked to the incentives and motives of employees.

Challenge of Supplying Power with Renewable Energy Due to the Impact of COVID-19 on Power Demands in the Lao PDR: Analysis Using Metaheuristic Optimization

Human activities have been limited by coronavirus disease 2019 (COVID-19), and the normal conditions of our lifestyles have changed, particularly in terms of electricity usage. The aim of this study was to investigate the impact of COVID-19 on the power sector in the Lao PDR in 2020, as well as the challenge of using solar energy to supply power to the network using an optimal approach. The returns on investment of network extension and the purchase of solar energy were also evaluated. Furthermore, load conditions caused by the country's lockdown policy were analyzed. We analyzed the optimal sizing and location of solar energy using a particle swarm optimization method based on the main objective functions, with the system's power loss decreasing and its reliability improved. The results demonstrated that the suddenly reduced load from industry and commercial business did not have a large impact on its operations;however, revenue was reduced. The optimal method for connecting solar energy to a network can reduce power loss and improve system reliability. In addition, we discovered that the location and capacity of solar generation can reduce the investment costs of extensions for new lines, with the surplus power being exported.

The perspective of energy poverty and 1st energy crisis of green transition

The role of energy transition amidst the energy crisis and how policymakers can drive down emissions while focusing on energy security are critical. Given the geo-political situation, energy crisis volatility, energy shortage and climate change all affect the green transition and the short-term priorities for energy companies and policymakers. Energy security is not an isolated issue but has widespread implications as various sectors depend on energy supply to function properly. Governments around the world are faced with this trilemma, how to balance energy security with energy sustainability while also considering energy affordability. Sustainability has been in focus for about a decade. However, energy security is suddenly becoming one of the most important priorities that policymakers need to consider. Unfortunately, the renewable energy infrastructure is not yet ready to replace the growing volume of energy demand from hydrocarbon, which the world has been dependent on. This means, for now, a surge in energy generation through hydrocarbon to meet the existing energy demand deficit. However, it is important not to lose focus on the challenge of energy sustainability and climate change adaption and mitigation. Where trends like carbon capture and storage;solar, wind, hydro, green hydrogen, etc.;renewable energy infrastructure and integrations, with supply chain and engineering services consideration [in aspect for the growing market in this space] need better attention with regards to investment and full-scale implementation. This paper aims to analyze this 1st energy crisis of green transition with a priori on energy poverty with consideration of major influences and associated impacts. Furthermore, it proposes a specific framework for inclusive investigations, which considers the entire energy ecosystem with consideration of major influences, to enable the policymakers to better drive the green transition. This involves formulating energy policies that are not entirely conservative towards renewable energy sources but instead promote investments in both green and relatively more environmentally benign energy sources compared to high emission hydrocarbons. In this regard, this paper renders exhaustive prospects and recommendations. © 2023 Elsevier Ltd

Effects of Upside Risk on Microgrids' Reliability Considering the COVID-19 Pandemic

The power systems in the areas of human resources and customer demand were greatly impacted by COVID-19 due to a series of restrictions on human movements, lockdowns of factories, and several job losses during the period. In situations like this, the use of microgrids may help attain a balance in the consumption and generation of power, thereby leading to customer satisfaction. The energy resources' optimal power scheduling in a standalone microgrid, taking into consideration the upside risk (UR), is proposed in this work. The standalone microgrid is made up of different energy resources such as a diesel generator (DSG), photovoltaic (PV), wind turbine (WT), and battery storage system (BSS). In this paper, the energy not supplied (ENS) is minimized in standalone mode by considering the effects of COVID-19. The UR is the change between the actual and target ENS when the target ENS is greater than the actual. Also, COVID-19 led to a significant reduction in the ENS. © 2023 IEEE.

Dynamic Frequency Analysis of the Jordanian Power System with Significant Penetration of Renewables: Lessons Learnt from the COVID-19 Lockdowns

The increasing dependence on renewable energy particularly solar Photovoltaic (PV) to supply energy consumption needs in Jordan has placed operational challenges on the power system operator to cope with the significant drop in the system's net-demand and the reduction in synchronous inertia. These challenges were not expected to become critical until the penetration of renewables increases to meet future national energy targets in the forthcoming years. However, the adoption of lockdowns to restrict the outbreak of COVID-19 combined with PV injections reduced the system's net-demand particularly during daytime in spring 2020 like expected levels in the future with high PV penetration. Thus, the implications of future significant penetration of renewables on system security could be better understood based on the operating conditions during lockdowns. In particular, it is important to assess the system's frequency adequacy during emergency events that might be occurred whilst running a low-inertia power system. To do so, this paper provides a detailed dynamic frequency analysis of the Jordanian power system during lockdowns using Power Factory software. The results highlight the importance of energy curtailment of renewables to maintain adequate level of synchronous inertia to maintain security when the system is islanded without interconnections to neighboring countries. However, deciding the proper level of curtailment requires performing dynamic analysis to ensure that both the Rate of Change of Frequency (RoCoF) and the minimum frequency level during generation contingency events will not trigger the Under Frequency Load Shedding (UFLS) relays. © 2022 IEEE.

Energy system analysis with a focus on future energy demand projections: The case of Norway

Post Covid-19 pandemic and the Ukrainian war are significantly impacting energy systems worldwide, faltering investments and threatening to throttle the expansion of primary clean energy technologies, even in the case of a well-structured and managed energy system, such as Norway. This unprecedented crisis requires deeper analyses and well-measured actions from the main actors in Norway's energy and climate sector. Hence, providing and highlighting needed interventions and improvements in the energy system is crucial. This study analyzes demand-side energy in Norway's households, industry, transport, and "other” sectors. LEAP model, a powerful energy system analysis tool, was used to conduct the analysis based on Baseline and Mitigation scenarios. The energy demand by sector and fuel type toward 2050 is forecasted, firstly by considering a set of parameters and key assumptions that impact the security of supply and secondly on the ambitious target of Norway's government in decreasing GHG emissions by 55% in 2030 and 90–95% by the year 2050 compared to 1990 levels. The mitigation scenario aims to diversify the overall national energy system and technological changes based on large-scale renewable energy sources (RES) integration. From the perspective of climate change issues, EV's include an attractive option for deep decarbonization, including other sustainable fuel sources such as H2, biofuel mixed with diesel, the use of excess heat deriving from industry to cover households' heating demand, and integration of large-scale heat pumps driven by RES during off-peak demand is applied. Energy demand projections are uncertain, and the main goal is to show how different scenario projections up to 2050 affect the whole of Norway's energy system, leading to a combined global warming potential (GWP) of around 7.30 MtCO2 in the mitigation scenario from 56.40 MtCO2 tones released in the baseline scenario, by reaching only 77.5% reduction referring to 1990 level. This study's findings show that the net-zero ambitions by the end of 2050 are impossible without the carbon tax application and carbon capture storage (CCS), especially in the oil and gas industry. © 2023 The Authors

Internationalism in climate action and China's role

The world is facing dual challenges of generating an economic recovery from the COVID-19 crisis, and transitioning to a low-carbon economy to tackle climate change. Strongly interrelated global challenges will require an integrated and coordinated response by all countries to manage the risk and lay the foundation for building back better. As the world's biggest emitter and the second-largest economy, China is a very important player in international collaboration and coordination in climate action. Against this backdrop, this paper looks into the increasingly crucial role that China is playing in global climate action, especially focusing on three aspects: China's domestic and foreign policymaking for the energy transition;its role in promoting multilateralism and international collaboration on building a sustainable world;and how it could accelerate climate action and diplomacy through research, development and innovation. In the critical decade of the 2020s, China has a great opportunity to further transform and upgrade its energy and industrial structures, promote research, development and the application of green and low-carbon technologies and intensify international climate cooperation on climate change. China should aim to be at the forefront of raising climate ambition and accelerating climate action for a sustainable and more equitable world. © 2023 IOP Publishing Ltd.

EL FUTURO DEL PETRÓLEO Y EL GAS NATURAL EN ESCENARIOS GLOBALES DE RÁPIDA DESCARBONIZACIÓN

La acelerada descarbonización de la economía, a la que muchos Gobiernos se han comprometido, implica no solo una reducción en el consumo de hidrocarburos, sino también una transformación profunda de los correspondientes mercados. Este artículo trata de ofrecer una visión organizada de lo aportado sobre este tema por diferentes prospectivas energéticas que gozan de reconocimiento internacional, así como por diferentes fuentes académicas. Este trabajo explora la oferta y la demanda de gas y petróleo en escenarios de rápida y muy rápida descarbonización, buscando aquellas tendencias comunes que ayudan a entender qué papel tienen estos hidrocarburos en ellos. La idea clave de este artículo es que el petróleo y el gas natural seguirán siendo energías clave para el mundo en los próximos treinta años, aunque el consumo de ambos hidrocarburos se reduce a medida que la economía se descarboniza. En este contexto de menor consumo, conviene destacar que el gas natural es un combustible más resiliente en los escenarios de rápida descarbonización, en particular, en la próxima década.Alternate :The current plans for a deep decarbonization of the economy across many different countries implies not only a reduction in hydrocarbon consumption, but also a profound transformation of the corresponding markets. This article offers an organized perspective of the different energy outlooks by internationally recognized institutions as well as from different academic sources. This paper explores oil and gas supply and demand in scenarios of rapid and very rapid decarbonization, looking for common trends that help to understand the role of these energy sources. The key insight of this paper is that oil and natural gas remain as key energy sources over the next 30 years, although consumption of both hydrocarbons declines as the economy decarbonizes. In this context of progressive lower consumption, it is worth noting that natural gas is a more resilient fuel in scenarios of rapid decarbonization, particularly in the next decade.

The Impact of CO2 Emissions and Energy Consumption on Economic Growth: A Panel Data Analysis

This study aims to examine the dynamic connection among economic growth, CO2 emissions, energy consumption, and foreign direct investments (FDIs). The panel section considers the period of 2000–2020 for 25 EU Member States excluding Malta and Croatia. The annual data are retrieved from the World Bank and Eurostat databases. The empirical analysis used estimation procedures such as first- and second-generation panel unit root tests (CIPS) and panel ARDL based on the three estimators PMG, MG, and DFE. The Hausman test indicated that the PMG estimator is the most efficient. The PMG and DFE estimators suggested that there exist only short-run causalities from CO2 emissions, energy consumption, and FDIs to GDP growth rate, while the MG estimator proved the existence of both short-run and long-run causalities. Three hypotheses on the positive correlation between the three regressors and GDP growth rate were in general confirmed. The identified causalities may represent recommendations for policymakers to stimulate the renewable energy sector to improve sustainable development.

Anaerobic Co-Digestion of Agricultural Residues Produced in Southern and Northern Greece

In Greece biomass is often being disposed of uncontrollably, resulting in significant environmental impacts. The aim of this study is the single-stage anaerobic co-digestion assessment, valorizing Northern and Southern Greece mixtures, resulting from previous literature reviews, experimental designs, and biochemical methane potential (BMP) assays. Regarding the methane yield maximization, in Northern Greece, the most suitable mixture was 10% corn silage, 80% cattle manure, and 10% malt;while in Southern Greece it was 10% corn silage, 57% cattle manure, 23% orange peels, and 10% olive pomace for fall/winter season. The hydraulic retention time (HRT) was set at 20 d and an initial organic loading rate (OLR) of 2 g COD/(L·d) was applied, with a view to gradually increase it. However, volatile fatty acids accumulation was observed, which led to OLR reduction to 1.5 g COD/(L·d) for both experiments. The Northern Greece reactor operated successfully for OLR 1.5–5 g COD/(L·d), while further increase led to system failure. On the other hand, the reactor of the Southern Greece mixture operated successfully at OLR 1.5–2 g COD/(L·d), but further operation indicated inadequacy, probably due to inhibitor (such as limonene) accumulation. Mixtures consisting of corn silage, cattle manure, and malt can be successfully valorized at high OLR. However, further investigation for mixtures with orange peels is suggested due to the presence of inhibitors.