Decentralized Energy Demand Regulation in Smart Homes

2017 ◽  
Vol 1 (3) ◽  
pp. 372-380 ◽  
Author(s):  
S. N. Akshay Uttama Nambi ◽  
R. Venkatesha Prasad ◽  
Antonio R. Lua
Keyword(s):  
Energy Demand ◽  
Smart Homes ◽  
Decentralized Energy

Role of micro-hydropower plants in socio-economic development of rural Afghanistan

2020 ◽  
pp. 1-7
Author(s):  
Mohammad Airaj Firdaws Sadiq ◽  
Najib Rahman Sabory ◽  
Mir Sayed Shah Danish ◽  
Tomonobu Senjyu
Keyword(s):  
Distribution System ◽  
Energy Demand ◽  
Economic Life ◽  
Hydropower Plant ◽  
Decent Work ◽  
Hydropower Plants ◽  
Development Goals ◽  
The Government ◽  
Decentralized Energy ◽  
Energy Options

Afghanistan hosts the Hindu Kush, an extension of the Himalaya mountains that act as water sources for five major rivers flowing through Afghanistan. Most of these rivers provide promise for the construction of water dams and installment of micro hydropower plants (MHP). Although civil war and political strife continue to threaten the country for more than four decades, the Afghan government introduced strategic plans for the development of the country. In 2016 Afghanistan introduced the Afghanistan National Peace and Development (ANPD) Framework at Brussels de-signed to support Afghanistan’s progress towards achieving the SDGs (Sustainable Development Goals). This study discussed the 7th Goal (ensuring access to affordable, reliable, and sustainable energy for all) and 8th Goal (promoting sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all) alignment in Afghanistan. The Afghan gov-ernment acknowledges its responsibility to provide electricity for all of its citizens, but this can only be achieved if the government can secure a reliable source of energy. Afghanistan’s mountainous terrain provides a challenge to build a central energy distribution system. Therefore this study looks for alternative solutions to the energy problems in Afghanistan and explores feasibility of micro-hydropower plant installations in remote areas. This study evaluated socio-economic im-pacts of micro-hydropower plants in the life of average residents. We focused on one example of a micro hydropower plant located in Parwan, conducted interviews with local residents, and gath-ered on-site data. The findings in this study can help policymakers to analyze the effects of devel-opment projects in the social and economic life of residents. It will encourage the government and hopefully the private sector to invest in decentralized energy options, while the country is facing an ever-growing energy demand.

scholarly journals Energy requirement of biomass gasifier model with special reference to odanthurai panchayat in coimbatore district

2011 ◽  
Vol 1 (1) ◽  
pp. 20-26
Author(s):  
PERIYASAMY P
Keyword(s):  
Rural Areas ◽  
Energy Demand ◽  
Crop Residues ◽  
Biomass Conversion ◽  
Energy Requirement ◽  
Co2 Emission Reduction ◽  
Rural People ◽  
Continuous Increase ◽  
Sustainable Solutions ◽  
Decentralized Energy

Energy is the driving force primarily associated with the economic and social development of a country. Energy serves as the building block of any industry or services, which in turn propel the economy of any nation. But energy at affordable price is the prime challenge which developing countries are facingtoday as a result of continuous increase in primary energy cost. Biomass such as wood, crop residues,agricultural residues. Forest waste, etc., are the oldest source of heat energy for domestic purposes. The energy requirement and end use of energy at rural areas are quite different from urban environment, whichare basic and essential amenities like lighting, water pumping and power for small industries dominate village energy requirements. Even now Coimbatore has rural and urban that need some form of energy other that gird electricity to light up the darkness, to improve its economy and to increase the livingstandards of the rural people. If Odanthurai Panchayat has to achieve its goal of becoming a leading electricity power in Coimbatore. The Odanthurai will have to find modern and renewable ways of producing energy to bridge the increasing gap between demand and supply for electricity supply. In recent years modern biomass conversion technologies have been developed which can convert biomass fuels into various energy forms. These technologies can play an important role in providing sustainable solutions for decentralized energy demand in villages and industries. The economic and environmental conditions of rural areas can be improved only by means of local empowerment and decentralized energy generation.Gasifier can play an important role in the upliftment of rural people as it serves the purpose of economic and environmental improvement. This shows that the substitution of petroleum products and CO2 emission reduction, power generation, assessment of the social impacts and economic viability. So the successful model of Odanthurai can be replicated anywhere to fulfill the energy and other essential needs of rural people.

Efficient power scheduling in smart homes using a novel artificial ecosystem optimization technique considering two pricing schemes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Souhil Mouassa ◽  
Marcos Tostado-Véliz ◽  
Francisco Jurado
Keyword(s):  
Energy Demand ◽  
Supply And Demand ◽  
Optimization Technique ◽  
Smart Homes ◽  
Demand Side Management ◽  
Time Interval ◽  
Demand Side ◽  
Artificial Ecosystem ◽  
Pricing Schemes ◽  
Operational Time

Abstract With emergence of automated environments, energy demand increased with unexpected ratio, especially total electricity consumed in the residential sector. This unexpected increase in demand in energy brings a challenging task of maintaining the balance between supply and demand. In this work, a robust artificial ecosystem-inspired optimizer based on demand-side management is proposed to provide the optimal scheduling pattern of smart homes. More precisely, the main objectives of the developed framework are: i) Shifting load from on-peak hours to off-peak hours while fulfilling the consumer intends to reduce electricity-bills. ii) Protect users comfort by improving the appliances waiting time. Artificial ecosystem optimizer (AEO) algorithm is a novel optimization technique inspired by the energy flocking between all living organisms in the ecosystem on earth. Demand side management (DSM) program is modeled as an optimization problem with constraints of starting and ending of appliances. The proposed optimization technique based DSM program is evaluated on two different pricing schemes with considering two operational time intervals (OTI). Extensive simulation cases are carried out to validate the effectiveness of the proposed optimizer based energy management scheme. AEO minimizes total electricity-bills while keeping the user comfort by producing optimum appliances scheduling pattern. Simulation results revealed that the proposed AEO achieved a minimization electricity-bill up to 10.95, 10.2% for RTP and 37.05% for CPP for the 12 and 60 min operational time interval (OTI), respectively, in comparison to other results achieved by other optimizers. On the other hand peak to average ratio (PAR) is reduced to 32.9% using RTP and 31.25% using CPP tariff.

scholarly journals Modeling transition paths towards decentralized regional energy autonomy: the role of legislation, technology adoption, and resource availability

2016 ◽  
Vol 74 (3) ◽  
pp. 273-284 ◽  
Author(s):  
Claudia R. Binder ◽  
Christof Knoeri ◽  
Maria Hecher
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
District Heating ◽  
Energy Systems ◽  
Electricity Production ◽  
Energy Carriers ◽  
Regional Energy ◽  
Regional Energy Demand ◽  
Decentralized Energy Systems ◽  
Decentralized Energy

Abstract Decentralized energy systems are increasingly seen as a key factor for a transition towards a low-carbon, renewable energy based society. Within the transition process, regional demand and supply of renewable energy carriers have to be aligned, while considering the environmental conditions of the region. This paper focuses on the energy demand from buildings, which makes up 35% of the total energy demand. It presents an approach for aligning the regional supply potential of renewable energy carriers with the dynamics of regional energy demand from buildings. The approach consists of two components. First, a dynamic model simulates regional energy demand from buildings taking into consideration envelope renovation, legislative standards, and adoption of heating technologies. Second, the regional supply is estimated based on the technical maximum possible, taking into consideration competing uses and spatial limitations. We show a first application in the case of the energy region Weiz-Gleisdorf, Austria, which aims to achieve CO2 neutrality and energy self-sufficiency by the year 2050. Our results show that in the year 2050 (i) energy demand from buildings will decrease by 40–55%, depending on envelope renovation rates and legislative standards; (ii) demand for the different renewable energy carriers will be determined by the choice of heating technology; (iii) the demand for wood could be met from regional forest resources, as long as there are no additional demands for other purposes; (iv) the demand for biomass for district heating would require 5–10% of the agricultural area to be used for the production of energy plants rather than food; and (v) in contrast to other forms of energy, the demand for electricity will remain constant or increase slightly over time. This demand could only be regionally met if significant areas of façades or gardens are used for photovoltaic electricity production in addition to roofs. Overall we identified several issues related to spatial planning and a need for further research regarding the transition towards decentralized energy systems. First, if biomass for central district heating systems is to come from regional production, areas should be allocated for cultivating energy crops used specifically to produce fuel. Second, if wood is used for district heating purposes, the extent to which the import of wood from neighboring regions would be a useful ecological solution must be evaluated; this would involve extending regional energy planning beyond the typical jurisdictional boundaries while considering ecological issues.

scholarly journals Fostering Share&Charge through proper regulation

2018 ◽  
Vol 19 (1-2) ◽  
pp. 25-52 ◽  
Author(s):  
Fanny Vanrykel ◽  
Damien Ernst ◽  
Marc Bourgeois
Keyword(s):  
Electricity Market ◽  
Energy Demand ◽  
Sharing Economy ◽  
Charging Station ◽  
Production Value ◽  
Interactive Map ◽  
Decentralized Energy ◽  
Production Capacities ◽  
Charging Stations

This article studies the emergence of Share&Charge, a German platform that organizes the sharing of charging stations for electric vehicles (EVs) and the billing for the energy transactions. Share&Charge follows a peer-to-peer fashion, enabling direct transactions between charging station owners and EV drivers. On the demand side, the platform, with its interactive map, makes it possible for EV owners to find a charging station in the most suitable location, for instance, at their place of work or where they live. On the offer side, Share&Charge enables station operators (private individuals or companies) to rent their charging stations and eventually to sell the electricity they produce. Charging tariffs within the charging station network are determined by the charging station operators themselves, but the platform provides indicative tariffs. Launched in September 2017, Share&Charge follows other initiatives, such as the French platforms Wattpop and ChargeMap, and the Swedish Elbnb. Share&Charge’s network is already proven to be successful with German citizens. Share&Charge adds certain elements of value at different stages of EV utilization. First, this model allows for a co-financing of charging infrastructures by individuals and businesses in the private sector by sharing the infrastructure costs among EV drivers. Besides the purchase price of EVs, the implementation of charging infrastructures and their financing represent a significant barrier to the rise of e-mobility. Share&Charge helps remove this obstacle without adding a further burden on the governmental budget. In addition, this approach follows the “user pays principle,” which engages in fair and effective financing. Second, the platform increases decentralized production value and facilitates its expansion. It also helps in avoiding grid congestion and energy loss, as well as increasing flexibility within the electricity market. Third, data use enables the optimization of energy demand and supply, and the optimal determination of tariffs, although these remain facultative. Models like Share&Charge could thus positively impact energy policy by tackling several upcoming obstacles associated with the development of EVs and decentralized energy production capacities. However, new forms of network structures (decentralized networks, sharing economy) and new actors (prosumers, platforms, etc.) also raise regulatory challenges. This article presents some of the legal issues associated with the development of models like Share&Charge. In particular, we study the tax framework applicable to this model, assuming that as such, it would be introduced into the Belgian market.

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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