A systematic approach to evaluate the economic viability of Combined Cooling Heating and Power systems over conventional technologies

Tataraki, Kalliopi; Kavvadias, Konstantinos; Maroulis, Z.B.

doi:10.1016/j.energy.2018.01.107

Cited by 21 publications

(10 citation statements)

References 37 publications

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“…The first exergy constraint that is utilized in this study is exergy efficiency. The exergy efficiency is indeed the performance of the second law of thermodynamics and is achieved as follows 29 :

η_{ex} = 1 - \frac{E_{L}}{E_{S}}

where E L and E S describe exergy loss and exergy supplied, respectively.…”

Section: E Analysismentioning

confidence: 99%

Improved owl search algorithm for optimal capacity determination of the gas engine in aCCHPsystem using4Eanalysis

Cao

Kui

Ashourian

2020

Int Trans Electr Energ Syst

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η_{ex} = 1 - \frac{E_{L}}{E_{S}}

where E L and E S describe exergy loss and exergy supplied, respectively.…”

Section: E Analysismentioning

confidence: 99%

Improved owl search algorithm for optimal capacity determination of the gas engine in aCCHPsystem using4Eanalysis

Cao

Kui

Ashourian

2020

Int Trans Electr Energ Syst

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“…(i) Equality constraints: Cooling load, thermal load and electricity load should be kept balanced through coordinating the output power of various devices in each CCHP microgrid [22,23].…”

Section: Constraintsmentioning

confidence: 99%

“…The constraints of optimisation model can be classified into two types, equality constraints and inequality constraints. (i) Equality constraints: Cooling load, thermal load and electricity load should be kept balanced through coordinating the output power of various devices in each CCHP microgrid [22, 23]. (a) Cooling energy balance

P_{AC}^{t} + P_{EC}^{t} = P_{Cool}^{t} .

(b) Thermal energy balance

P_{GB}^{t} + P_{HX}^{t} = P_{Heat}^{t} .

P_{GT}^{t} + P_{BT}^{t} + P_{grid}^{t} + P_{PV}^{t} + P_{WT}^{t} + \sum_{i = 1}^{n} P_{normalmicrogrid - i}^{t} = P_{EC}^{t} + P_{Power}^{t} .

where

P_{Cool}^{t}

is the cooling load power in interval t ;

P_{Heat}^{t}

is the heating load power in interval t ; and

P_{Power}^{t}

is the electricity load power in interval t . (ii) Inequality constraints: Inequality constraints include the operation constraints of each device and the value of interaction power on electricity transmission line.…”

Section: Optimisation Model Of Cchp Multi‐microgridsmentioning

confidence: 99%

Optimal economic dispatch of combined cooling, heating and power‐type multi‐microgrids considering interaction power among microgrids

Chen

et al. 2019

IET Smart Grid

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With the rapid growth of microgrids, many regional multi-microgrids systems emerge gradually with microgrids being integrated to the certain distribution network. By connecting each microgrid using cables and coordinating interaction power among microgrids, the total operation cost of multi-microgrids system can be decreased. On the basis of modeling a variety of energy supply and storage devices, this paper proposes an energy supply infrastructure for combined cooling, heating and power (CCHP) microgrid on centralized and interconnected energy exchange network, and energy loads are subdivided into cooling load, thermal load and power load. Then the optimal economic dispatch model considering interaction power among microgrids is proposed in this study for CCHP type multi-microgrids, and energy balance constraints are established according to load types. This model not only takes into account the power interaction between microgrid and the distribution network, but also considers the power interaction among microgrids. The objective is the minimal total operation cost of CCHP type multimicrogrids system. In case studies of Sino-Singapore district, Tianjin, China, the output power of pre-defined equipment and the total operation cost are compared under two different operation mode, coordination mode and independence mode, which verifies the effectiveness and economy of the proposed model.

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“…However, some drawbacks still limit the widespread diffusion of such systems. Major disadvantages are the price volatility and the relatively high initial investment cost, especially when combined with weak financial supporting actions or administrative hurdles [7,8]. and identify factors hindering its penetration.…”

Section: Introductionmentioning

confidence: 99%

Techno-Economic Performance Assessment of a Trigeneration System Operating in a Hospital

2021

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The techno-economic performance evaluation of a combined cooling heating and power (CCHP) system installed in a hospital building in Greece is presented. The aim was to verify performance standards and evaluate real behavior, while highlighting the economic gains. In this research, system performance was evaluated using actual and year-round field measurements. The data were used to calculate the recovered heat and the generated electric energy. Furthermore, the performance was modeled and compared to the manufacturer specifications. Financial assessment was conducted through energy cost analysis to verify the operating viability of the system, both for its heating and cooling functions. The results showed that, overall, after eight years of operation, the energy efficiency was still within design standards. Electrical efficiency was constantly above 30%, while thermal efficiency was around 40–45%. Total efficiency was usually above the 75% threshold, characterizing the system as fully CHP operating. The analysis also pointed out the economic effectiveness of the system in the Greek energy market. The results verified the potential of a CCHP system for improving the energy and economic performance of a building.

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A systematic approach to evaluate the economic viability of Combined Cooling Heating and Power systems over conventional technologies

Cited by 21 publications

References 37 publications

Improved owl search algorithm for optimal capacity determination of the gas engine in aCCHPsystem using4Eanalysis

Improved owl search algorithm for optimal capacity determination of the gas engine in aCCHPsystem using4Eanalysis

Optimal economic dispatch of combined cooling, heating and power‐type multi‐microgrids considering interaction power among microgrids

Techno-Economic Performance Assessment of a Trigeneration System Operating in a Hospital

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