DEMAND-SIDE MANAGEMENT FOR ENERGY PRODUCTION USING MICRO COMBINED HEAT AND POWER SYSTEM – A REVIEW

World development increased dramatically ever since the Industrial Revolution, in particular after second world war (WWII), which drove the rise of energy consumption. Thus, energy consumption in the World has been growing continuously in the past 50 years. Using micro Combined Heat and Power (mCHP) allows energy scheduling and demand-side management depending on different variables which will benefit users and suppliers. Different researches have been conducted due to increasing interest from researchers to increase and optimise the advantages of energy scheduling. In addition to the mCHP system, optimisation process also includes distributed energy sources (solar panels) with electricity storage. On the demand side, various devices with different load profiles which can be controlled over time can be considered. This study therefore, being a desktop based one, sought to review the energy demand-side management as it applies to the use of mCHP in residential settings.

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Demand side management of energy consumption in a photovoltaic integrated greenhouse

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2021.107433 ◽

2022 ◽

Vol 134 ◽

pp. 107433

Author(s):

Kai Zhang ◽

Jihua Yu ◽

Yan Ren

Keyword(s):

Energy Consumption ◽

Demand Side Management ◽

Demand Side

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The impact of technology on architecture in Iran with focus on saving in energy consumption

Environment Conservation Journal ◽

10.36953/ecj.2015.se1610 ◽

2015 ◽

Vol 16 (SE) ◽

pp. 97-103

Author(s):

Allah Bakhsh Kavoosi ◽

Shahin Heidari ◽

Hamed Mazaherian

Keyword(s):

Energy Consumption ◽

Energy Demand ◽

Industrial Revolution ◽

Demand Prediction ◽

Interior Spaces ◽

Heating And Cooling ◽

Impact Of Technology ◽

Contemporary Architecture ◽

The Impact ◽

The Given

Growth and development of technology caused enormous transformation and change in the world after Industrial Revolution. The contemporary human has prepared the platform for their realization in many activities that the humans were unable to do it in the past time and struck the dream of their realization in their mind so that today doing many of those activities have been apparently practical by human. This accelerating growth accompanied with consuming a lot of energy where with respect to restriction of the given existing resources, it created energy crises. On the other hand, along with growth in industry and requirement for manpower and immigration from village to city and basic architectural changes in houses, which have emerged due to change in social structure it has led to change in lifestyle and type and quantity of consuming energy in contemporary architecture. Inter alia, with increase in human’s capability, cooling and heating and acoustic and lighting technologies were also changed in architecture and using mechanical system was replaced by traditional systems. Application of modern systems, which resulted from growth of industry and development of technology and it unfortunately, caused further manipulation in nature and destruction of it by human in addition to improving capability and potential of human’s creativity. With respect to growth of population and further need for housing and tendency to the dependent heating and cooling systems to them in this article we may notice that the housing is assumed as the greatest consumer of energy to create balance among the exterior and interior spaces in line with creating welfare conditions for heating and cooling and lighting. The tables of energy demand prediction in Iran show that these costs and energy consumption will be dubbed with energy control smart management in architecture.

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Production Process Modeling for Demand Side Management

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.871.77 ◽

2017 ◽

Vol 871 ◽

pp. 77-86

Author(s):

Stefanie Kabelitz ◽

Sergii Kolomiichuk

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Supply And Demand ◽

Demand Side Management ◽

Mixed Integer ◽

Mixed Integer Program ◽

Business Practices ◽

Demand Side ◽

Manufacturing Companies ◽

Consumption Data

The supply of electricity is growing increasingly dependent on the weather as the share of renewable energies increases. Different measures can nevertheless maintain grid reliability and quality. These include the use of storage technologies, upgrades of the grid and options for responsiveness to supply and demand. This paper focuses on demand side management and the use of flexibility in production processes. First, the framework of Germany’s energy policy is presented and direct and indirect incentives for businesses to seek as well as to provide flexibility capabilities are highlighted. Converting this framework into a mixed integer program leads to multi-objective optimization. The challenge inherent to this method is realistically mapping the different objectives that affect business practices directly and indirectly in a variety of laws. An example is introduced to demonstrate the complexity of the model and examine the energy flexibility. Second, manufacturing companies’ energy efficiency is assessed under the frequently occurring conditions of heavily aggregated energy consumption data and of information with insufficient depth of detail to perform certain analyses, formulate actions or optimize processes. The findings obtained from the energy assessment and energy consumption projections are used to model the production system’s energy efficiency and thus facilitate optimization. Methods of data mining and machine learning are employed to project energy consumption. Aggregated energy consumption data and different production and environmental parameters are used to assess indirectly measured consumers and link projections of energy consumption with the production schedule.

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

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2021-0104 ◽

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.

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A trilevel model for best response in energy demand-side management

European Journal of Operational Research ◽

10.1016/j.ejor.2019.03.005 ◽

2020 ◽

Vol 281 (2) ◽

pp. 299-315 ◽

Cited By ~ 8

Author(s):

Didier Aussel ◽

Luce Brotcorne ◽

Sébastien Lepaul ◽

Léonard von Niederhäusern

Keyword(s):

Energy Demand ◽

Demand Side Management ◽

Demand Side ◽

Best Response

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Perspectives and Intensification of Energy Efficiency in Commercial and Residential Buildings Using Strategic Auditing and Demand-Side Management

Energies ◽

10.3390/en12234539 ◽

2019 ◽

Vol 12 (23) ◽

pp. 4539 ◽

Cited By ~ 2

Author(s):

Kumar ◽

Brar ◽

Singh ◽

Nikolovski ◽

Baghaee ◽

...

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Energy Management ◽

Residential Buildings ◽

Effective Means ◽

Demand Side Management ◽

Demand Side ◽

Specific System ◽

Energy Data ◽

Energy Auditing

With the ever-growing power demand, the energy efficiency in commercial and residential buildings is a matter of great concern. Also, strategic energy auditing (SEA) and demand-side management (DSM) are cost-effective means to identify the requirements of power components and their operation in the energy management system. In a commercial or residential building, the major components are light sources and heating, ventilation, and air conditioning. The number of these components to be installed depends upon the technical and environmental standards. In this scenario, energy auditing (EA) allows identifying the methods, scope, and time for energy management, and it helps the costumers to manage their energy consumption wisely to reduce electricity bills. In the literature, most of the traditional strategies employed specific system techniques and algorithms, whereas, in recent years, load shifting-based DSM techniques were used under different operating scenarios. Considering these facts, the energy data in a year were collected under three different seasonal changes, i.e., severe cold, moderate, and severe heat for the variation in load demand under different environmental conditions. In this work, the energy data under three conditions were averaged, and the DSM schemes were developed for the operation of power components before energy auditing and after energy auditing. Moreover, the performance of the proposed DSM techniques was compared with the practical results in both scenarios, and, from the results, it was observed that the energy consumption reduced significantly in the proposed DSM approach.

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