Energy services and energy demand

2020 ◽  
pp. 41-62
Author(s):  
Kornelis Blok ◽  
Evert Nieuwlaar
Keyword(s):  
Energy Demand ◽  
Energy Services

Characterization of Energy Demand and Energy Services Using Model-Based and Data-Driven Approaches

2021 ◽  
pp. 229-248
Author(s):  
Carlos A. Santos Silva ◽  
Manar Amayri ◽  
Kaustav Basu
Keyword(s):  
Energy Demand ◽  
Data Driven ◽  
Energy Services ◽  
Model Based

Agricultural Energy Demand and Use

2020 ◽  
Author(s):  
David Roland-Holst
Keyword(s):  
Technological Change ◽  
Supply Chains ◽  
Energy Demand ◽  
Food Production ◽  
Energy Use ◽  
Environmental Science ◽  
Environmental Implications ◽  
Energy Services ◽  
Carbon Pathways ◽  
Lower Carbon

This overview article examines the historical and technical relationship between agrifood supply chains and energy services. Because agriculture is the original environmental science, all technological change in food production has environmental implications, but these are especially serious in the context of conventional energy use. Agrifood sustainability is of paramount importance to us all, and this will require lower carbon pathways for agriculture.

scholarly journals A GIS-Based Approach to Estimate Electricity Requirements for Small-Scale Groundwater Irrigation

2021 ◽  
Vol 10 (11) ◽  
pp. 780
Author(s):  
Anna Nilsson ◽  
Dimitrios Mentis ◽  
Alexandros Korkovelos ◽  
Joel Otwani
Keyword(s):  
Climate Change ◽  
Energy Demand ◽  
Average Energy ◽  
Sub Saharan Africa ◽  
Small Scale ◽  
Reference Scenario ◽  
Energy Services ◽  
Irrigation Demand ◽  
Groundwater Irrigation ◽  
Effective Manner

Access to modern energy services is a precondition to improving livelihoods and building resilience against climate change. Still, electricity reaches only about half of the population in Sub-Saharan Africa (SSA), while about 40% live under the poverty line. Heavily reliant on the agriculture sector and increasingly affected by prolonged droughts, small-scale irrigation could be instrumental for development and climate change adaptation in SSA countries. A bottom-up understanding of the demand for irrigation and associated energy services is essential for designing viable energy supply options in an effective manner. Using Uganda as a case study, the study introduces a GIS-based methodology for the estimation of groundwater irrigation requirements through which energy demand is derived. Results are generated for two scenarios: (a) a reference scenario and (b) a drought scenario. The most critical need is observed in the northern and southern regions of the country. The total annual irrigation demand is estimated to be ca. 90 thousand m3, with the highest demand observed in the months of December through February, with an average irrigation demand of 445 mm per month. The highest energy demand is observed in the northern part of the study area in January, reaching 48 kWh/ha. The average energy demand increases by 67% in the drought scenario. The study contributes to current gaps in the existing literature by providing a replicable methodological framework and data aimed at facilitating energy system planning through the consideration of location-specific characteristics at the nexus of energy–water–agriculture.

scholarly journals Energy Justice in Slum Rehabilitation Housing: An Empirical Exploration of Built Environment Effects on Socio-Cultural Energy Demand

2020 ◽  
Vol 12 (7) ◽  
pp. 3027 ◽  
Author(s):  
Ramit Debnath ◽  
Gianna Monteiro Farias Simoes ◽  
Ronita Bardhan ◽  
Solange Maria Leder ◽  
Roberto Lamberts ◽  
...  
Keyword(s):  
Built Environment ◽  
Distributive Justice ◽  
Low Income ◽  
Energy Demand ◽  
Architectural Design ◽  
Binary Logistic Regression ◽  
Well Being ◽  
Environment Design ◽  
Energy Services ◽  
Design Elements

The interaction of energy and buildings institutes a complex socio-technical system that influences the eudemonic well-being of the occupants. Understanding these drivers become even more necessary in impoverished areas where occupants struggle to avail essential energy services. The literature indicates that energy injustice can be addressed through provisioning of comfort, cleanliness, and convenience (3Cs) as critical cultural energy services in low-income areas. This study investigates the socio-architectural influence for slum rehabilitation housing (SRH) on cultural energy services that can promote distributive justice. The methodology adopts an empirical route using data from 200 household surveys from SRH in Mumbai, India, and João Pessoa, Brazil. A model between the 3Cs and socio-architectural elements was established using Firth’s binary logistic regression. The survey results showed that the SRH in Brazil had twice the appliance ownership as compared to the Mumbai SRH. There were distinct energy service preferences in the study areas, despite common poverty burdens. The empirical results showed that the lack of socio-architectural design elements like open spaces, privacy, and walkability in the study areas demanded specific comfort and convenience appliances as a counter-response. A critical policy implication drawn was on the need for socio-architectural inclusive energy planning for distributive justice in poverty. Mitigating rising energy demand through appropriate built environment design of slum rehabilitation housing can contribute to fulfilling the UN’s SDG 7 (clean and affordable energy) and 11 (sustainable cities and communities) goals.

A novel ligand with –NH2 and –COOH-decorated Co/Fe-based oxide for an efficient overall water splitting: dual modulation roles of active sites and local electronic structure

2020 ◽  
Vol 10 (18) ◽  
pp. 6266-6273
Author(s):  
Yalan Zhang ◽  
Zebin Yu ◽  
Ronghua Jiang ◽  
Jung Huang ◽  
Yanping Hou ◽  
...  
Keyword(s):  
Electronic Structure ◽  
Water Splitting ◽  
Energy Demand ◽  
Active Sites ◽  
Electrode Materials ◽  
Global Energy ◽  
Overall Water Splitting ◽  
Local Electronic Structure ◽  
Electrochemical Water Splitting

Excellent electrochemical water splitting with remarkable durability can provide a solution to satisfy the increasing global energy demand in which the electrode materials play an important role.

Fuzzy multi-objective decision making approach for nuclear power plant installation

2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan
Keyword(s):  
Linear Programming ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Energy Supply ◽  
Energy Demand ◽  
Nuclear Power ◽  
Power Plants ◽  
Total Duration ◽  
Objective Functions ◽  
Multi Objective

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into Fuzzy Multiple Weighted-Objective Linear Programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.

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