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A combined Markov-chain and bottom-up approach to modelling of domestic lighting demand
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Fasta tillståndets fysik. (Built Environment Energy Systems Group (BEESG))
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Fasta tillståndets fysik.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Tekniska sektionen, Institutionen för teknikvetenskaper, Fasta tillståndets fysik.
2009 (engelsk)Inngår i: Energy and Buildings, ISSN 0378-7788, E-ISSN 1872-6178, Vol. 41, nr 10, s. 1001-1012Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Detailed simulations of distributed generation in residential areas   have prompted the need for improved models of domestic electricity   demand that are able to reproduce important features of real household   loads. The high share and temporal variability of the lighting demand   make it of special interest, in particular when the models are to be   used in simulations of distributed photovoltaics (PV), which to a high   degree is negatively correlated with the lighting demand. In this   paper, a stochastic bottom-up model based on domestic occupancy   patterns and data on daylight availability is presented. A threestate   non-homogeneous Markov chain is used for generation of occupancy   patterns and a conversion model transforms occupancy patterns to   lighting demand, with respect to the daylight level. Markovchain   transition probabilities are determined from a detailed set of time-use   (TU) data in Swedish households and the parameters in the   occupancy-to-lighting conversion model are adjusted to make the   resulting load curves fit recent measurements on aggregate population   level. The performance of the model is analysed by comparison of   simulated demand to measured lighting demand. It is concluded that for   both individual households and aggregate demand, all relevant features   of measured demand are realistically reproduced.

sted, utgiver, år, opplag, sider
2009. Vol. 41, nr 10, s. 1001-1012
Emneord [en]
Domestic lighting, Markov chain, Bottom-up, Load model, Occupancy
HSV kategori
Forskningsprogram
Fasta tillståndets fysik
Identifikatorer
URN: urn:nbn:se:uu:diva-122405DOI: 10.1016/j.enbuild.2009.05.002ISI: 000270076900001OAI: oai:DiVA.org:uu-122405DiVA, id: diva2:310022
Tilgjengelig fra: 2010-04-12 Laget: 2010-04-12 Sist oppdatert: 2017-12-12bibliografisk kontrollert
Inngår i avhandling
1. System Studies and Simulations of Distributed Photovoltaics in Sweden
Åpne denne publikasjonen i ny fane eller vindu >>System Studies and Simulations of Distributed Photovoltaics in Sweden
2010 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Grid-connected photovoltaic (PV) capacity is increasing worldwide, mainly due to extensive subsidy schemes for renewable electricity generation. A majority of newly installed systems are distributed small-scale systems located in distribution grids, often at residential customers. Recent developments suggest that such distributed PV generation (PV-DG) could gain more interest in Sweden in the near future. With prospects of decreasing system prices, an extensive integration does not seem impossible.

In this PhD thesis the opportunities for utilisation of on-site PV generation and the consequences of a widespread introduction are studied. The specific aims are to improve modelling of residential electricity demand to provide a basis for simulations, to study load matching and grid interaction of on-site PV and to add to the understanding of power system impacts.

Time-use data (TUD) provided a realistic basis for residential load modelling. Both a deterministic and a stochastic approach for generating different types of end-use profiles were developed. The models are capable of realistically reproducing important electric load properties such as diurnal and seasonal variations, short time-scale fluctuations and random load coincidence.

The load matching capability of residential on-site PV was found to be low by default but possible to improve to some extent by different measures. Net metering reduces the economic effects of the mismatch and has a decisive impact on the production value and on the system sizes that are reasonable to install for a small-scale producer.

Impacts of large-scale PV-DG on low-voltage (LV) grids and on the national power system were studied. Power flow studies showed that voltage rise in LV grids is not a limiting factor for integration of PV-DG. Variability and correlations with large-scale wind power were determined using a scenario for large-scale building-mounted PV. Profound impacts on the power system were found only for the most extreme scenarios.

sted, utgiver, år, opplag, sider
Uppsala: Acta Universitatis Upsaliensis, 2010. s. 110
Serie
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 781
Emneord
Photovoltaics, Solar energy, Distributed generation, Load modelling, Time-use data, Markov chain, Power flow, Power system
HSV kategori
Forskningsprogram
Teknisk fysik
Identifikatorer
urn:nbn:se:uu:diva-132907 (URN)978-91-554-7931-2 (ISBN)
Disputas
2010-12-10, Häggsalen, Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, 13:15 (engelsk)
Opponent
Veileder
Merknad
Felaktigt tryckt som Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 711Tilgjengelig fra: 2010-11-18 Laget: 2010-10-28 Sist oppdatert: 2011-03-21bibliografisk kontrollert

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