Uncertainties in the design and operation of distributed energy resources: The case of micro-CHP systems

Houwing, M.; Ajah, Austin N.; Heijnen, Petra; Bouwmans, Ivo; Herder, Paulien M.

doi:10.1016/j.energy.2008.07.003

Cited by 81 publications

(33 citation statements)

References 10 publications

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“…These schemes need to be developed for each sector individually (e.g. residential, work place, leisure, and service sectors) [47] and must be carefully vetted for uncertainties in the design and operation of residential of the cogeneration units [48]. With careful modeling this is done by i) reducing the size of cogeneration unit whereby the rated thermal power of the cogeneration unit is diminished while the annual use is increased or ii) increasing the annual use of this cogeneration into periods of lower heat demand (and thus some heat would be lost) [49].…”

Section: Methodology: Sizing the Pv+chp Systemmentioning

confidence: 99%

Expanding photovoltaic penetration with residential distributed generation from hybrid solar photovoltaic and combined heat and power systems

Pearce

2009

Energy

113

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The recent development of small scale combined heat and power (CHP) systems has provided the opportunity for inhouse power backup of residentialscale photovoltaic (PV) arrays. This paper investigates the potential of deploying a distributed network of PV+CHP hybrid systems in order increase the PV penetration level in the U.S. The temporal distribution of solar flux, electrical and heating requirements for representative U.S. single family residences were analyzed and the results clearly show that hybridizing CHP with PV can enable additional PV deployment above what is possible with a conventional centralized electric generation system. The technical evolution of such PV+CHP hybrid systems was developed from the present (near market) technology through four generations, which enable high utilization rates of both PVgenerated electricity and CHPgenerated heat. A method to determine the maximum percent of PVgenerated electricity on the grid without energy storage was derived and applied to an example area. The results show that a PV+CHP hybrid system not only has the potential to radically reduce energy waste in the status quo electrical and heating systems, but it also enables the share of solar PV to be expanded by about a factor of five.

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Section: Methodology: Sizing the Pv+chp Systemmentioning

confidence: 99%

Expanding photovoltaic penetration with residential distributed generation from hybrid solar photovoltaic and combined heat and power systems

Pearce

2009

Energy

113

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“…In the Private-Owned Scenario, it is the avoided cost for purchasing electricity from the utility company that constitutes the basis for profitable operation. In addition to household ownership and leasing arrangements by ESCOs or energy suppliers to households, Houwing et al (2008) [67] point out the possibility of aggregators trading electricity from distributed energy sources, as well as the formation of economically coordinated clusters, such as micro-grids and virtual power plants. A virtual power plant consists of distributed generation units of different technologies (e.g., mCHP, wind, photovoltaic, gas turbine) that are centrally coordinated and controlled by one entity.…”

Section: Ownership Models Proposed In Literaturementioning

confidence: 99%

Support schemes and ownership structures – the policy context for fuel cell based micro-combined heat and power

Schroeder¹,

Costa

Obé

2011

Journal of Power Sources

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“…LDR's are characterised with a range of possible values of resistance for a luminance of 10 lux (R 10 ). In case of the ones used in the experiments, R 10 varies from [8,20]kΩ and γ is 0.85, typically. Thus, given a sensor, a minimum and a maximum of the luminance can be obtained if a resistance value is measure (see Fig.…”

Section: Low Quality Data In Lighting Systems and The Energy Efficiencymentioning

confidence: 99%

Analysing the Low Quality of the Data in Lighting Control Systems

Villar

Cal

Sedano

et al. 2010

Lecture Notes in Computer Science

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Abstract. Energy efficiency represents one of the main challenges in the engineering field, i.e., by means of decreasing the energy consumption due to a better design minimising the energy losses. This is particularly true in real world processes in the industry or in business, where the elements involved generate data full of noise and biases. In other fields as lighting control systems, the emergence of new technologies, as the Ambient Intelligence can be, degrades the quality data introducing linguistic values. The presence of low quality data in Lighting Control Systems is introduced through an experimentation step, in order to realise the improvement in energy efficiency that its of managing could afford. In this contribution we propose, as a future work, the use of the novel genetic fuzzy system approach to obtain classifiers and models able to deal with the above mentioned problems.

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Uncertainties in the design and operation of distributed energy resources: The case of micro-CHP systems

Cited by 81 publications

References 10 publications

Expanding photovoltaic penetration with residential distributed generation from hybrid solar photovoltaic and combined heat and power systems

Expanding photovoltaic penetration with residential distributed generation from hybrid solar photovoltaic and combined heat and power systems

Support schemes and ownership structures – the policy context for fuel cell based micro-combined heat and power

Analysing the Low Quality of the Data in Lighting Control Systems

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