A mixed-integer linear programming (MILP) model for the evaluation of CHP system in the context of hospital structures

Costa, Antonio; Fichera, Alberto

doi:10.1016/j.applthermaleng.2014.02.051

Cited by 53 publications

(23 citation statements)

References 15 publications

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“…The author in Ref. [26] employed a mixed integer linear programming (MILP) as an optimization algorithm to determine the yearly operational strategy of a cogeneration plant. The strategy also defines the sizing method for the plant incorporated in commercial microgrid.…”

Section: Cogeneration or Combined Heat And Power (Chp) Systemmentioning

confidence: 99%

A techno-economic assessment of a combined heat and power photovoltaic/fuel cell/battery energy system in Malaysia hospital

Isa

Das

Tan

et al. 2016

Energy

172

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Section: Cogeneration or Combined Heat And Power (Chp) Systemmentioning

confidence: 99%

A techno-economic assessment of a combined heat and power photovoltaic/fuel cell/battery energy system in Malaysia hospital

Isa

Das

Tan

et al. 2016

Energy

172

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“…29 Costa and Fichera created a mixed-integer linear programming model for the evaluation of CHP system in the context of hospital structures. 30 Rossi et al proposed artificial neural networks and physical modeling for determination of baseline consumption of CHP plants. 31 Kritsanawonghong et al focused on the feasibility study of optimal sizing of micro-cogeneration system for convenience stores in Bangkok.…”

Section: -2mentioning

confidence: 99%

A simple methodology for capacity sizing of cogeneration and trigeneration plants in hospitals: A case study for a university hospital

Teke

Zor

Timur

2015

Journal of Renewable and Sustainable Energy

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Energy efficiency applications have great importance for facilities that utilize large amount of electrical and heat energy. Cogeneration (so called Combined Heat and Power; abbreviated as CHP) plants with gas engines are capable of generating both electrical and heat energy simultaneously using a single fuel input. In recent years, the realization of license exemption for facilities willing to produce electricity just for their energy demands by ensuring the condition of 80% total efficiency, low carbon emission of systems contain gas engines, rapid operation for synchronization and shortness of payback periods make cogeneration and trigeneration (so called Combined Cooling, Heat and Power; abbreviated as CCHP) plants more popular. This paper (i) briefly reviews cogeneration and trigeneration plants and their advantages, (ii) presents a novel methodology to determine the optimal capacity ratings for the plants by using the energy consumption profile, (iii) illustrates the calculation procedures including economic profit, thermal efficiency, and electricity generation of the selected system, and (iv) suggests the optimal capacity, plant placement and configuration for a medium-scale hospital. The energy savings potential at the university hospital is estimated as 19.66% and 19.52% with the use of natural gas based cogeneration and trigeneration plant, respectively. V C 2015 AIP Publishing LLC. [http://dx.

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“…However, to take price fluctuations on the electricity market into account when choosing an operation strategy for CHPs, a sufficiently large optimization horizon is required. Particularly, for an intraday optimization, this horizon is usually assumed to be about one day, which is usually modeled by using a temporal resolution of 15 minutes that implies a high computational cost [4]. In [5], an optimization procedure is proposed based on non-linear optimization techniques and it is applied to the determination of day ahead of operation program with a 15-minutes time step.…”

Section: Introductionmentioning

confidence: 99%

Optimal operation of combined heat and power systems: An optimization-based control strategy

Diaz

Ocampo‐Martínez

Panten³

et al. 2019

Energy Conversion and Management

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The use of decentralized Combined Heat and Power (CHP) plants is increasing since the high levels of efficiency they can achieve. Thus, to determine the optimal operation of these systems in dynamic energy-market scenarios, operational constraints and the time-varying price profiles for both electricity and the required resources should be taken into account. In order to maximize the profit during the operation of the CHP plant, this paper proposes an optimization-based controller designed according to the Economic Model Predictive Control (EMPC) approach, which uses a non-constant time step along the prediction horizon to get a shorter step size at the beginning of that horizon while a lower resolution for the far instants. Besides, a softening of related constraints to meet the market requirements related to the sale of electric power to the grid point is proposed. Simulation results show that the computational burden to solve optimization problems in real time is reduced while minimizing operational costs and satisfying the market constraints. The proposed controller is developed based on a real CHP plant installed at the ETA research factory in Darmstadt, Germany.

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A mixed-integer linear programming (MILP) model for the evaluation of CHP system in the context of hospital structures

Cited by 53 publications

References 15 publications

A techno-economic assessment of a combined heat and power photovoltaic/fuel cell/battery energy system in Malaysia hospital

A techno-economic assessment of a combined heat and power photovoltaic/fuel cell/battery energy system in Malaysia hospital

A simple methodology for capacity sizing of cogeneration and trigeneration plants in hospitals: A case study for a university hospital

Optimal operation of combined heat and power systems: An optimization-based control strategy

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