Comparison and Validation of Operational Cost in Smart Houses with the Introduction of a Heat Pump or a Gas Engine

2015 ◽  
Vol 16 (1) ◽  
pp. 59-74 ◽  
Author(s):  
Tsubasa Shimoji ◽  
Hayato Tahara ◽  
Hidehito Matayoshi ◽  
Atsushi Yona ◽  
Tomonobu Senjyu
Keyword(s):  
Distribution Systems ◽  
Heat Pumps ◽  
Wind Generation ◽  
Operational Cost ◽  
Gas Engine ◽  
Electricity Cost ◽  
Exhaust Heat ◽  
Electric Equipment ◽  
Smart House ◽  
The Cost

Abstract Due to the concerns of global warming and the depletion of energy resources, renewable energies such as wind generation (WG) and photovoltaic generation (PV) are gaining attention in distribution systems. Efficient electric equipment such as heat pumps (HP) not only contribute low levels of carbon to society, but are also beneficial for consumers. In addition, gas instruments such as the gas engine (GE) and fuel cells (FC) are expected to reduce electricity cost by exhaust heat. Thus, it is important to clarify which systems (HP or GE) are more beneficial for consumers throughout the year. This paper compares the operational cost for the smart house between using the HP and the GE. Current electricity and gas prices are used to calculate the cost of the smart house. The system considered in this research comprises a PV, battery, solar collector (SC), uncontrolled load and either an HP or a GE. In order to verify the effectiveness of the proposed system, MATLAB is used for simulations.

An operation algorithm with state of charge recovery for a parallel-type hybrid vehicle

2003 ◽  
Vol 217 (9) ◽  
pp. 801-807 ◽  
Author(s):  
Dookhwan Choi ◽  
Moonhyuk Im ◽  
Hyunsoo Kim
Keyword(s):  
Hybrid Electric Vehicle ◽  
Weighting Function ◽  
State Of Charge ◽  
Operational Cost ◽  
Hybrid Powertrain ◽  
Electricity Cost ◽  
Parallel Hybrid Electric Vehicle ◽  
Operation Algorithm ◽  
The Cost ◽  
Operating Points

In this work, an algorithm for the operation of a hybrid powertrain is proposed for a parallel hybrid electric vehicle (HEV). The operation algorithm suggested in this work yields the operating points where the operational cost of the HEV is minimal at each state of charge (SOC). The operational cost of an HEV is calculated considering both the cost of fossil fuel consumed by the engine and the cost of electricity consumed by the electric motor. A weighting function of SOC, which is inversely proportional to the SOC, is applied to the estimation of electricity cost. By the effect of a weighting function of the SOC, it is expected that the algorithm has the property of SOC recovery. Computer simulations are carried out in order to test the suggested algorithm, and simulation results show that the final SOC is recovered to the middle band of the SOC as the operation of the HEV is continued, regardless of initial SOC values.

scholarly journals Harnessing Wind Energy Potential in ASEAN: Modelling and Policy Implications

2021 ◽  
Vol 13 (8) ◽  
pp. 4279
Author(s):  
Youngho Chang ◽  
Phoumin Han
Keyword(s):  
Wind Energy ◽  
Carbon Emissions ◽  
Policy Implications ◽  
Wind Generation ◽  
Energy Potential ◽  
Trade Model ◽  
Electricity Trade ◽  
Generation Capacity ◽  
The Cost ◽  
Business As Usual

This study examines whether and how harnessing more wind energy can decrease the cost of meeting the demand for electricity and amount of carbon emissions in the Association for Southeast Asian Nations (ASEAN) region, using the ASEAN integrated electricity trade model. Three scenarios are considered: a counterfactual business-as-usual (BAU) scenario, which assumes no wind energy is used; an actual BAU scenario that uses the wind-generation capacity in 2018; and a REmap scenario, which employs the wind-generation capacity from the Renewable Energy Outlook for ASEAN. Simulation results suggest that dispatching more wind energy decreases the cost of meeting the demand for electricity and amount of carbon emissions. However, these emissions increase during the late years of the study period, as the no- or low-emitting energy-generation technologies are crowded out.

Optimal Scheduling Method of Controllable Loads in DC Smart Apartment Building

2015 ◽  
Vol 16 (6) ◽  
pp. 579-589 ◽  
Author(s):  
Tsubasa Shimoji ◽  
Hayato Tahara ◽  
Hidehito Matayoshi ◽  
Atsushi Yona ◽  
Tomonobu Senjyu
Keyword(s):  
Power Flow ◽  
Residential Buildings ◽  
Heat Pumps ◽  
Optimal Operation ◽  
Optimal Scheduling ◽  
Electricity Pricing ◽  
Residential Areas ◽  
Electricity Cost ◽  
Pricing Scheme ◽  
Scheduling Method

Abstract From the perspective of global warming suppression and the depletion of energy resources, renewable energies, such as the solar collector (SC) and photovoltaic generation (PV), have been gaining attention in worldwide. Houses or buildings with PV and heat pumps (HPs) are recently being used in residential areas widely due to the time of use (TOU) electricity pricing scheme which is essentially inexpensive during middle-night and expensive during day-time. If fixed batteries and electric vehicles (EVs) can be introduced in the premises, the electricity cost would be even more reduced. While, if the occupants arbitrarily use these controllable loads respectively, power demand in residential buildings may fluctuate in the future. Thus, an optimal operation of controllable loads such as HPs, batteries and EV should be scheduled in the buildings in order to prevent power flow from fluctuating rapidly. This paper proposes an optimal scheduling method of controllable loads, and the purpose is not only the minimization of electricity cost for the consumers, but also suppression of fluctuation of power flow on the power supply side. Furthermore, a novel electricity pricing scheme is also suggested in this paper.

RENEWABLE ENERGY INTEGRATION FOR HOT WATER SUPPLY AND HEATING OF BUILDINGS

2021 ◽  
pp. 3-12
Author(s):  
Yu. Selikhov ◽  
K. Gorbunov ◽  
V. Stasov
Keyword(s):  
Solar Energy ◽  
Heat Production ◽  
Heat Supply ◽  
Alternative Energy ◽  
Fossil Fuel ◽  
Heat Pumps ◽  
Climatic Conditions ◽  
Economic Feasibility ◽  
Hot Water ◽  
The Cost

Solar energy is widely used in solar systems, where economy and ecology are combined. Namely, this represents an important moment in the era of depletion of energy resources. The use of solar energy is a promising economical item for all countries of the world, meeting their interests also in terms of energy independence, thanks to which it is confidently gaining a stable position in the global energy sector. The cost of heat obtained through the use of solar installations largely depends on the radiation and climatic conditions of the area where the solar installation is used. The climatic conditions of our country, especially the south, make it possible to use the energy of the Sun to cover a significant part of the need for heat. A decrease in the reserves of fossil fuel and its rise in price have led to the development of optimal technical solutions, efficiency and economic feasibility of using solar installations. And today this is no longer an idle curiosity, but a conscious desire of homeowners to save not only their financial budget, but also health, which is possible only with the use of alternative energy sources, such as: double-circuit solar installations, geothermal heat pumps (HP), wind power generators. The problem is especially acute in the heat supply of housing and communal services (HCS), where the cost of fuel for heat production is several times higher than the cost of electricity. The main disadvantages of centralized heat supply sources are low energy, economic and environmental efficiency. And high transport tariffs for the delivery of energy carriers and frequent accidents on heating mains exacerbate the negative factors inherent in traditional district heating. One of the most effective energy-saving methods that make it possible to save fossil fuel, reduce environmental pollution, and meet the needs of consumers in process heat is the use of heat pump technologies for heat production.

scholarly journals Optimized Placement of Connecting the Distributed Generationswork Stand Alone to Improve the Distribution Systems Reliability

2013 ◽  
Vol 64 (2) ◽  
pp. 76-83
Author(s):  
Hamed Hashemi-Dezaki ◽  
Ali Agheli ◽  
Behrooz Vahidi ◽  
Hossein Askarian-Abyaneh
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
System Reliability ◽  
Distribution Systems ◽  
Analytical Approach ◽  
Distributed Generations ◽  
Joint Point ◽  
Cost Of Energy ◽  
Optimum Solution ◽  
The Cost

The use of distributed generations (DGs) in distribution systems has been common in recent years. Some DGs work stand alone and it is possible to improve the system reliability by connecting these DGs to system. The joint point of DGs is an important parameter in the system designing. In this paper, a novel methodology is proposed to find the optimum solution in order to make a proper decision about DGs connection. In the proposed method, a novel objective function is introduced which includes the cost of connector lines between DGs and network and the cost of energy not supplied (CENS) savings. Furthermore, an analytical approach is used to calculate the CENS decrement. To solve the introduced nonlinear optimization programming, the genetic algorithm (GA) is used. The proposed method is applied to a realistic 183-bus system of Tehran Regional Electrical Company (TREC). The results illustrate the effectiveness of the method to improve the system reliability by connecting the DGs work stand alone in proper placements.

scholarly journals Efficient central heating and modern heat sources

2013 ◽  
Vol 7 (4) ◽  
pp. 28-33
Author(s):  
Monika Pawlita
Keyword(s):  
Energy Saving ◽  
Calorific Value ◽  
Cost Effective ◽  
Weather Conditions ◽  
Heating System ◽  
Heat Pumps ◽  
Single Family ◽  
Heating Source ◽  
The Cost ◽  
Family House

Background: The methods of heating houses with system components determine the energy-saving systems. Energy-saving solutions allow to maintain comfortable conditions in the house, while minimizing the cost associated with its operation and at the same time helping to protect natural environment. The examples of such solutions include condensing boilers, heat pumps and solar collectors.Material and methods: The object of the analysis in this paper is typical single-family house occupying the area of 150 m². The comparison of analyzed heating system for a single-family house, including modern energy sources, allows the assessment of the most cost-effective method of heating. Results: Choosing rational method of heating for a single-family house is dictated mainly by economic reasons. The efficiency of the heating sources is also very important. In addition, an important factor is a heating period, which depends on the weather conditions in a given year.Conclusions: The costs of fuel/energy are still growing. Fuel selection is determined mainly by fuel calorific value and the price. To select the type of the heating source one must take into account the cost of kWh of heat.

Operational Cost of Running Real-Time Mobile Cloud Applications

2015 ◽  
pp. 294-321 ◽  
Author(s):  
Ovunc Kocabas ◽  
Regina Gyampoh-Vidogah ◽  
Tolga Soyata
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Service Level ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Cost Models ◽  
Operational Cost ◽  
Resource Requirements ◽  
The Cost ◽  
Cloud Applications

This chapter describes the concepts and cost models used for determining the cost of providing cloud services to mobile applications using different pricing models. Two recently implemented mobile-cloud applications are studied in terms of both the cost of providing such services by the cloud operator, and the cost of operating them by the cloud user. Computing resource requirements of both applications are identified and worksheets are presented to demonstrate how businesses can estimate the operational cost of implementing such real-time mobile cloud applications at a large scale, as well as how much cloud operators can profit from providing resources for these applications. In addition, the nature of available service level agreements (SLA) and the importance of quality of service (QoS) specifications within these SLAs are emphasized and explained for mobile cloud application deployment.

Business Development and Environmental Impact in the Solar (PV) Field

2017 ◽  
pp. 44-84
Keyword(s):  
Economic Analysis ◽  
Financial Incentives ◽  
Investment Decision ◽  
Business Environment ◽  
Business Development ◽  
Point Of View ◽  
Pv System ◽  
Investment Projects ◽  
Electricity Cost ◽  
The Cost

The techno-economic analysis of a PV system is designed to measure the viability of the designed system from an economical and technological point of view assuming some specific environmental conditions. In this research, for the techno-economic analysis of PV system the authors are focused on four general categories of factors which are highly influential on the investment decision in this field. These are the PV system costs, the electricity cost, the sunlight and other environmental characteristics and the financial incentives. Each of this factors is analyzed in order to understand and evaluate the general conditions that influence the decision in the photovoltaic business. The methodology that is used for explaining the real business environment in PV field and the main indicators that can estimate the investment profitability is the case study related to formal opportunities for developing PV investment projects in Romania. The investors in PV field have to understand the life cycle of a PV system that can give an overlook of the cost reduction opportunities and also make them sensible to the decommissioning phase of such an investment. For future investments in the PV field in Europe the authors identified and analyzed the main factors that characterize the PV business development in the next period.

Elephant Herding Optimization Metaheuristic to Minimize Electricity Cost in a Smart House

2021 ◽  
pp. 12-20
Author(s):  
Samia Chibani Sadouki ◽  
Souhila Ait Hacene Ouhadda
Keyword(s):  
Electricity Cost ◽  
Smart House
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