Modeling of energy-services supply systems

Groscurth, Helmuth-M.; Bruckner, Th.; Kümmel, Reiner

doi:10.1016/0360-5442(95)00067-q

Cited by 83 publications

(40 citation statements)

References 2 publications

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“…Besides "energy-services supply systems" [10], "basic units" [11], and "micro grids" [12], so-called "hybrid energy hubs", are suggested, where the term "hybrid" represent the use of multiple energy carriers [13][14]. An energy hub is considered a unit where different energy carriers can be converted, conditioned, and maybe stored.…”

Section: Energy Hub Concept and Modellingmentioning

confidence: 99%

Optimal Dispatch of a Multiple Energy Carrier System Equipped With a CCHP

Sheikhi¹,

Ranjbar²,

Safe³

2024

RE&PQJ

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Abstract. With the development of distributed generation (DG) technologies and the implementation of policies to encourage their applications, The Combined Cooling, Heating, and Power (CCHP) systems is expected to play a greater role in the commercial buildings in the future. CCHP is a promising efficiency improvement and carbon mitigation strategy, but careful operation mode is required to achieve a reasonable system performance according to energy consumption characteristics of buildings and technical features of equipments [1]. This paper presents an energy dispatch method which minimizes the cost of energy (e.g., cost of electricity from the grid and cost of natural gas into the gas turbine and boiler) base on the energy hub concept and by regarding carbon market rules. The system includes combined heating power (CHP) module, auxiliary boiler, absorption chiller, utility grid and electrical, thermal, and cooling loads. In fact, by solving this model, optimal energy flow will be determined regarding both the amounts of electric, thermal, and cooling loads in each time interval and prices of electricity and natural gas at the same time, by considering environmental constrains. In the cost function of this model, the total economic benefit of this system is maximized during total daily operation time. The results of an optimal operation model have been discussed economically and a case study has been investigated.

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Section: Energy Hub Concept and Modellingmentioning

confidence: 99%

Optimal Dispatch of a Multiple Energy Carrier System Equipped With a CCHP

Sheikhi¹,

Ranjbar²,

Safe³

2024

RE&PQJ

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“…• A time resolution of ten minutes or less is recommended Baetens et al , 2011;Groscurth et al , 1995).…”

Section: Prior Considerationsmentioning

confidence: 99%

Modelling uncertainty in district energy simulations by stochastic residential occupant behaviour

Bætens

Sælens

2015

Journal of Building Performance Simulation

110

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Occupant behaviour has since long been of main interest in the domain of building energy savings and indoor air quality; and its importance is recognized by its wide coverage in literature. In the recent developments of detailed transient building energy simulations, including the occupant behaviour as boundary condition for the thermal comfort and system efficiency calculations has been a major research topic given its significant impact. Simultaneous growing interest in district energy simulations raises similar questions at the aggregate level, where upscaling from the building to an aggregate neighborhood level at the spatial scale of a low-voltage feeder results in a natural regression to the mean lowering uncertainty compared to the level of the household.The presented work starts with the description of StROBe, a stochastic residential occupant behaviour for district energy simulations; integrating the modelling of receptacle loads, internal heat gains, thermostat settings and hot water tappings based on occupancy and activity prerequisites. Given this model, the uncertainty for district energy simulations is addressed. The epistemic uncertainties are aleborated first comparing model results with reference values and denoting local disaggregation of demographic statistics as possible main hiatus of general modelling methods for building energy occupant behaviour used at the neighborhood level. To conclude, the aleatory uncertainty caused by stochastic residential occupant behaviour in integrated district energy simulations are quantified. Here, the expected value of the objective functions have to a large extend the same minimizers as the measures of the proposed robustness. As such, optimizing an objective value for its expected value generally seems to result in a optimum near the optimum of robustness. However, 95 percent of the observed objectives lay between 0.81 and 1.6 times the expected value for a feeder larger than 10 houses and between 0.88 and 1.3 times the expected value for more than 20 houses denoting an overall 'rather small' uncertainty on the possible objective functions caused by user behaviour. Furthermore, we show that the design of the building energy system has its impact on the robustness of the objective criteria and it could thus be minimized as part of an optimiation exercise.

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“…Besides "energy-services supply systems" [17], "basic units" [18], and "micro grids" [19], so-called "hybrid energy hubs", are suggested, where the term "hybrid" implies the use of multiple energy carriers [20,21]. An energy hub is considered a unit where different energy carriers can be converted, conditioned, and maybe stored.…”

Section: Energy Hub Concept and Modelingmentioning

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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Modeling of energy-services supply systems

Cited by 83 publications

References 2 publications

Optimal Dispatch of a Multiple Energy Carrier System Equipped With a CCHP

Optimal Dispatch of a Multiple Energy Carrier System Equipped With a CCHP

Modelling uncertainty in district energy simulations by stochastic residential occupant behaviour

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

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