Renewable Energy Economics, Policies and Planning
Adewale George Adeniyi; Kingsley O. Iwuozor; Ebuka Chizitere Emenike; Comfort Adeyanju; Samuel Ogunniyi
Abstract
Polystyrene waste is a significant environmental problem, and recycling and repurposing it can reduce its impact on the environment. Chicken feather biochar, on the other hand, is a by-product of the poultry industry and can be repurposed to produce bio-composites. The goal of this work was to turn waste ...
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Polystyrene waste is a significant environmental problem, and recycling and repurposing it can reduce its impact on the environment. Chicken feather biochar, on the other hand, is a by-product of the poultry industry and can be repurposed to produce bio-composites. The goal of this work was to turn waste chicken feathers into biochar and then, create composites with the biochar acting as the filler and a polystyrene-based resin acting as the matrix. The biochar was prepared with the aid of a top-lit updraft reactor. Composites were fabricated using different mixing ratios of biochar (10-40%) and polystyrene resin. The composites were then analyzed using FTIR, SEM-EDX, and hardness tests. SEM examination demonstrated that the biochar was distributed unevenly throughout the matrix. The alterations and shifts in peak positions shown by FTIR measurement indicated that there was a chemical interaction between the matrix and the biochar. It also revealed the hydrophilic nature of the composite. Hardness test showed that 20% biochar concentration gave the optimum hardness property (139 HRB). The EDX result demonstrated that the matrix as well as the composites consisted majorly of carbon atoms. The results of this study indicate the potential of using chicken feather biochar as a filler material to improve the mechanical and microstructural properties of recycled polystyrene-based bio-composites. This approach can provide a sustainable and environmentally-friendly solution to repurpose waste materials from poultry and plastic industries.
Renewable Energy Economics, Policies and Planning
Zeinab Ghasemi Sangi; Abbas Tarkashvand; Hanieh Sanaeian
Abstract
The height of buildings is one of the main features of urban configuration that affects energy consumption. However, to our knowledge, the complexity of relationships between the height parameters and energy use in urban blocks is poorly understood. In this context, the present study investigates the ...
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The height of buildings is one of the main features of urban configuration that affects energy consumption. However, to our knowledge, the complexity of relationships between the height parameters and energy use in urban blocks is poorly understood. In this context, the present study investigates the effect of the height distribution of buildings located in a residential complex on the energy consumption required for cooling and heating. This research simulates different possible layouts through computational software. For this purpose, first, the density of a residential complex was determined based on the rules and regulations of Tehran city and according to the site dimensions and certain site coverage. Then, the required building density was distributed in different layouts based on their diversity at different heights. The product of this stage involved 7 different layouts in which the height varied from 1 floor to the maximum number calculated in each part of the simulation. In the next step, the annual energy consumption for cooling and heating the complex was calculated for each of these layouts and compared with each other. The parametric generative model was created in the Grasshopper plugin from Rhino software, and the energy consumption was evaluated with the Honeybee plugin over one year. Also, the research findings were validated through DesignBuilder software using the EnergyPlus engine. The results of the energy simulation indicate that the height distribution of the blocks can have a significant effect on energy consumption. In the optimal case, proper layout reduces the annual cooling and heating energy consumption by 28 % and 13 %, respectively. Therefore, achieving an optimal value for each of the cooling and heating loads depends on the specific priorities and conditions of the design project. If the design project's priority is to reduce heating energy consumption, increasing the height and distributing the floors evenly between the blocks is a better answer. However, if the priority is to mitigate cooling energy consumption, the optimal layout can include low-rise blocks and a single very high-rise block.
Renewable Energy Economics, Policies and Planning
Vasundhara Sen
Abstract
Despite the falling costs of Renewable Energy (RE), RE adoption in Indian residential households is still attepid growth rates. With the onset of retail electricity market deregulation in India, the introduction of “greentariffs” for residential households can be effective in resolving the ...
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Despite the falling costs of Renewable Energy (RE), RE adoption in Indian residential households is still attepid growth rates. With the onset of retail electricity market deregulation in India, the introduction of “greentariffs” for residential households can be effective in resolving the issue of low RE adoption. This studyinvestigates the willingness to pay for green tariffs/renewable energy-based electricity contracts using thecontingent valuation method. Data collected from 476 Indian residential households are analyzed by theDouble-Bounded Dichotomous Choice technique. The results of the conducted maximum LikelihoodEstimation (MLE) method reveal the mean willingness to pay 308.52 Rs per household/month for consumption of green power in a premium-paying setting. Results indicate that although households hold positive perception of renewable energy, the willingness to pay is not commensurately high, indicating an attitude-action gap. The study recommends green energy defaults in residential energy contracts, direct marketing of non-use value of RE use (altruistic and bequest) by power supplying utilities, and promoting RE use through RE opinion champions/influencers as measures to enhance RE adoption amongst Indian residential energy consumers.
Renewable Energy Economics, Policies and Planning
Somayeh Dehhaghi; Shahla Choobchian; Barat Ghobadian; Homayon Farhadian
Abstract
The purpose of this study is to present a renewable energy policy model in the agricultural sector of Iran. To achieve this goal, a questionnaire consisting of 57 items was designed. The reliability of the questionnaire was confirmed by Cronbach's alpha (0.916). Also, to analyze the validity and reliability ...
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The purpose of this study is to present a renewable energy policy model in the agricultural sector of Iran. To achieve this goal, a questionnaire consisting of 57 items was designed. The reliability of the questionnaire was confirmed by Cronbach's alpha (0.916). Also, to analyze the validity and reliability of the research tool, the Average Variance Extracted (AVE) and Composite Reliability (CR) were calculated. The validity of the questionnaire was determined using face validity, Content Validity Ratio (CVR), and Content Validity Index (CVI). The statistical population of the study consists of energy policymaking experts who were estimated at about 80 people. The sampling method was random and 70 samples answered the questionnaire using the Krejcie and Morgan table. Using structural equation modeling and the maximum likelihood method and using LISREL software, the model fit was estimated at a favorable level. Based on the findings, it was found that the priorities of the agricultural sector and the needs of this sector had not been considered in renewable energy policymaking. Policymaking is done top-down and stakeholders are not considered. Renewable equipment market policies are not adequate and the market is not properly managed. Interaction between policymaking institutions is not in good shape. The results of this study can help address the various shortcomings of the renewable energy policy as well as reduce the common inconsistencies in this area. Finally, suggestions were made for the development and promotion of policies in the field of renewable energy in the agricultural sector of Iran.
Renewable Energy Economics, Policies and Planning
Nima Amani; Abdul Amir Reza Soroush
Abstract
Traditionally, building energy model is created in isolation from the architectural building information model and energy analyses have relied on a single analysis tool. The building energy model can be generated more quickly by leveraging existing data from the BIM. The impacts of energy consumption ...
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Traditionally, building energy model is created in isolation from the architectural building information model and energy analyses have relied on a single analysis tool. The building energy model can be generated more quickly by leveraging existing data from the BIM. The impacts of energy consumption are significant in the building usage phase, which can last several decades. Due to the large share of the final energy consumption in the building sector, accurate analysis of thermal and cooling loads of a building and the efforts to reduce energy losses represent an effective way to reduce energy consumption. Therefore, it is essential to analyze the building energy performance in the design phase, which is when critical decisions are made. This study aims to investigate the impact of the building components and construction materials on building energy efficiency using Building Information Modeling (BIM) technology in a mild climate zone. After reviewing the proposed designs, the main building form was chosen for energy modeling and analysis. Then, building energy consumption analysis was performed based on the basic parameters of the building energy model. Eventually, the most optimal mode was selected by examining different energy consumption forms. This study showed that the building HVAC system always had the largest share of energy consumption. Finally, the results of parametric studies on alternative schemes of energy use intensity optimization showed that 22.59 % savings could be achieved as compared to the base building model in a 30-year time horizon
Renewable Energy Economics, Policies and Planning
Ali Khatibi; Mohammad Hossein Jahangir; Fatemeh Razi Astaraiea
Abstract
Land-use change is one of the most important spatial phenomena that can affect the usage of energy technologies. In this study, land-use change in barren and residential areas in Alborz province in Iran was modeled using the cellular automata combined with the Markov Chain from 2001 to 2031. Due to adaptability ...
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Land-use change is one of the most important spatial phenomena that can affect the usage of energy technologies. In this study, land-use change in barren and residential areas in Alborz province in Iran was modeled using the cellular automata combined with the Markov Chain from 2001 to 2031. Due to adaptability to the environmental considerations, all protected areas were removed from the study area. Then, an economical and performance-based optimization model was developed; then, by using the status of the two land-use classes in 2031, an optimum scenario was identified for generating solar electricity. Based on the results, the optimum scenario involves installing distributed photovoltaic modules in 18.37 % of residential areas and setting up concentrated solar systems in 0.74 % of barren areas, simultaneously. Economic investigation of the optimum scenario showed that although there were some environmental and political benefits for using the solar electricity such as reduction of air pollutants and more energy safety, the optimum scenario will be costly and non-economical without the government’s financial supports.