A Developed Offline Model for Optimal Operation of Combined Heating and Cooling and Power Systems

Hashemi, R.

doi:10.1109/tec.2008.2002330

Cited by 53 publications

(32 citation statements)

References 13 publications

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“…The mathematic model is based on Hashemi's paper [11]. Heat charge and discharge shall not exceed (R1) and discharge (R2) rates.…”

Section: Thermal Energy Storage Modelmentioning

confidence: 99%

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Analysis of Multi-objective Optimal Dispatch of Cogeneration with Thermal Energy Storage for Building Energy Management System

Manusilp¹,

Banjerdpongchai²

2017

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Abstract. This paper presents analysis of the multi-objective optimal operation of designed BEMS which contains cogeneration or combined heat and power (CHP) and thermal energy storage (TES) as energy sources. The previously designed BEMS consists of CHP as the main energy supply with absorption chiller and auxiliary boiler. It is observed that there is excessive heat energy from CHP operation which is enough for further utilization. In this paper, TES is additional component to utilize excessive heat energy released from CHP operation. TES cooperates with CHP and auxiliary boiler to supply heat energy to meet the cooling load demand in the building. There are two objective functions for consideration, namely, total operating cost (TOC) and total carbon dioxide emission (TCOE). The multi-objective framework combines both objective functions and employs the weighted sum of TOC and TCOE. Furthermore, we vary initial state of TES from 0-20% of TES's capacity and analyze its effect on TOC and TCOE. We apply the multi-objective approach to a large shopping mall. Numerical results show that setting initial state of TES to 0% can offer more reduction of TOC and TCOE than other initial conditions. The multi-objective optimal operation converges to minimum TOC when a weighting factor is 0. On the other hand, it converges to the minimum TCOE when the weighting factor is 1. In addition, the trade-off curve showing a relationship between TOC and TCOE provides operating points which depends on operator's decision criterion.Keywords: Combined heat and power (CHP), thermal energy storage (TES), building energy management system (BEMS), multi-objective approach, energy efficiency.

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“…The mathematic model is based on Hashemi's paper [11]. Heat charge and discharge shall not exceed (R1) and discharge (R2) rates.…”

Section: Thermal Energy Storage Modelmentioning

confidence: 99%

“…There is model development to achieve optimal dispatch of electrical, cooling, and heating supply to load in a small industry. In particular, economic operation aims to reduce investment cost and time, and gain more benefits and comfort [11]. Subsequently, the CHP model is modified to suit application of a large shopping mall [12].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Multi-objective Optimal Dispatch of Cogeneration with Thermal Energy Storage for Building Energy Management System

Manusilp¹,

Banjerdpongchai²

2017

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“…Their review also indicates that forecasting techniques are being combined with optimization approaches. For example, Marik et al, combine forecasting along with mixed integer nonlinear programming (MINLP)optimization techniques [9]; whereas, Hashemi developed an offline model to optimize the operations of a combined cooling and heating power (CCHP) system (with storage) and uses non-linear solvers (LINGO 8.0) [11]. However, both studies only consider cost optimization.…”

Section: Related Workmentioning

confidence: 99%

“…Very few cases look into the optimization during operational phases, e.g. optimizing operational parameters [7]- [11]. This is due to several factors, including: (1) the integration of renewables and the use of co-generation plants in today's energy mix make the problem more dynamic, uncertain and complex; and (2) many different constraints have to be factored in at each stage of the optimization, and require high computational power to provide near real time results.…”

Section: Introductionmentioning

confidence: 99%

An Analytical Optimization Model for Holistic Multiobjective District Energy Management - A Case Study Approach

Jayan¹,

Li²,

Rezgui³

et al. 2016

IJMO

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Abstract-Efficient management during the operational phase of district energy systems has become increasingly complex due to the various static and dynamic factors involved. Existing deterministic algorithms which are largely based on human experience acquired from specific domains, normally fail to consider the overall efficiency of district energy systems in a holistic way. This paper looks into taking a black box approach by using genetic algorithms (GA) to solve a multiobjectiveoptimization problem conforming to economic, environmental and efficiency standards. This holistic optimization model, takes into account both heat and electricity demand profiles, and was applied in Ebbw Vale district, in Wales. The model helps compute optimized daily schedules for the generation mix in the district and different operational strategies are analyzed using deterministic and genetic algorithm (GA) based combined optimization methods. The results evidence that GA can be used to define an optimum strategy behind heat production leading to an increase in profit by 32% and reduction in CO 2 emissions by 36% in the 24 hour period analyzed. This research fits in well with future district energy systems which give priority to integrated and systematic management.Index Terms-Analytical model, district energy management, energy efficiency, genetic algorithms, multiobjective optimization.

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“…The survey of previous literature on DER (Distributed Energy Resource) planning as well as optimal DER deployment in the radial (conventional) as well as meshedtype distribution systems indicates that a number of similar studies [9][10][11][12][13][14][15][16], encompass sensitivity analysis to modern soft computing techniques, such as genetic algorithms (GAs), evolutionary programming (EP), DER-CAM, etc. Special mention can be made to [9] and [14].…”

Section: Introductionmentioning

confidence: 99%

A Financial Approach to Evaluate an Optimized Combined Cooling, Heat and Power System

Bahrami¹,

Safe²

2013

EPE

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Iran's removing subsidy from energy carrier in four years ago leads to spike electricity price dramatically. This abrupt change increases the interest on distributed generation (DG) because of its several benefits such as lower electricity generation price. In Iran among all type of DGs, because of wide natural gas network infrastructure and several incentives that government legislated to support combined cooling, heat and power (CCHP) investors, this type of technology is more prevalent in comparison with other technologies. Between existing CCHP technologies, certain economic choices are to be taken into account. For different buildings with different load curves, suitable size and operation of CCHP should be calculated to make the project more feasible. If CCHP does not well suited for a position, then the whole energy efficiency would be plunged significantly. In this paper, a model to find the optimal size and operation of CCHP and auxiliary boiler for any users is proposed by considering an integrated view of electricity and natural gas network using GAMS software. Then this method is applying for a hospital in Tehran as a real case study. Finally, by applying COMFAR III software, useful financial parameters and sensitivity analysis are calculated.

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A Developed Offline Model for Optimal Operation of Combined Heating and Cooling and Power Systems

Cited by 53 publications

References 13 publications

Analysis of Multi-objective Optimal Dispatch of Cogeneration with Thermal Energy Storage for Building Energy Management System

Analysis of Multi-objective Optimal Dispatch of Cogeneration with Thermal Energy Storage for Building Energy Management System

An Analytical Optimization Model for Holistic Multiobjective District Energy Management - A Case Study Approach

A Financial Approach to Evaluate an Optimized Combined Cooling, Heat and Power System

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