Household electricity consumption and CO 2 emissions in the Netherlands: A model-based analysis

Papachristos, George

doi:10.1016/j.enbuild.2014.09.077

Cited by 38 publications

(21 citation statements)

References 48 publications

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“…Each scenario has a similar usage profile for occupancy pattern but differs in peak loads, resulting in different average electricity consumption. For the average scenario, electricity consumption for lighting [50,56] and appliances [57] is in line with average electricity consumption of Dutch households of about 3500 kW h for lighting and appliances [58]. Internal heat gains (IHG) due to lighting, appliances, etc.…”

Section: Occupant Scenariosmentioning

confidence: 73%

“…An emission factor of electricity ( f CO El 2, ) of 0.540 kgCO 2 per kW h of electricity is used to calculate CO 2 emissions due to electricity imports El ( ) imp and avoided CO 2 emissions due to electricity exports El ( ) exp [57]. Same emission factors are used for imported and exported electricity, as the exported electricity is assumed to replace equivalent electricity production by the grid.…”

Section: Occupant Scenariosmentioning

confidence: 99%

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A methodology for performance robustness assessment of low-energy buildings using scenario analysis

2018

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• A novel methodology for performance robustness assessment is proposed.• Multi-criteria assessment is carried out using predicted performance and robustness.• The minimax regret method is used to identify robust designs.• A multi-criteria decision making strategy is implemented to select robust designs. A R T I C L E I N F O Keywords:Robust design Low-energy buildings Future scenarios Occupant behavior Performance assessment Robustness assessment Design decision making A B S T R A C T Uncertainties in building operation and external factors such as occupant behavior, climate change, policy changes etc. impact building performance, resulting in possible performance deviation during operation compared to the predicted performance in the design phase. Multiple low-energy building configurations can lead to similar optimal performance under deterministic conditions, but can have different magnitudes of performance deviation under these uncertainties. Low-energy buildings must be robust so that these uncertainties do not result in significant variations in energy use, cost and comfort. However, these uncertainties are rarely considered in the design of low-energy buildings and hence, the decision making process may result in designs that are sensitive to uncertainties and might not perform as intended. Therefore, to reduce this sensitivity, performance robustness assessment of low-energy buildings considering uncertainties should be assessed in the design phase. The probability of occurrences of these uncertainties are usually unknown and hence, scenarios are essential to assess the performance robustness of buildings. Therefore, a non-probabilistic robustness assessment methodology, based on scenario analysis, is developed to identify robust designs. Maximum performance regret calculated using the minimax regret method is used as the measure of performance robustness. In this approach, the preferred robust design is based on optimal performance and performance robustness.The proposed methodology is demonstrated using a case study with a policymaker as the decision maker. The proposed methodology can be used by designers and consultants to aid decision makers in the design phase to identify robust low-energy building designs that deliver preferred performance in the future operation.

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Section: Occupant Scenariosmentioning

confidence: 73%

Section: Occupant Scenariosmentioning

confidence: 99%

A methodology for performance robustness assessment of low-energy buildings using scenario analysis

2018

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“…[9,14,24,29,46]) using data mining (e.g. [48][49][50][51][52]), regression (e.g. [11,19,24,30,37,46]) and econometric methods (e.g.…”

Section: Socio-economic and Dwelling Factors Affecting Domestic Electmentioning

confidence: 99%

Determinants of high electrical energy demand in UK homes: Socio-economic and dwelling characteristics

Jones

Lomas

2015

Energy and Buildings

106

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a b s t r a c tThis paper provides an analysis of the socio-economic and dwelling factors contributing to high electrical energy demand in UK domestic buildings. The socio-economic, dwelling and electricity consumption data were collected during a large-scale, city-wide survey, carried out in Leicester, UK, in 2009-2010. Annual electrical energy demand was estimated for 315 dwellings and an odds ratio analysis used to identify the socio-economic and dwelling factors that led to high electricity consumption. The effects of a number of socio-economic and dwelling factors which have not previously been studied for the UK domestic sector are included. Thus, for the first time, presence of teenagers, having electric space heating as the primary form of heating, portable electric heating and electric water heating were identified as significant drivers of high electricity demand in UK homes. The employment status and education level of the Household Representative Person, the number of floors in a dwelling, presence of fixed electric heating, and the proportion of low-energy lighting were shown to have no effect on high electricity consumption in UK homes. Given the impetus to reduce electricity consumption and CO 2 emissions from the domestic sector, these observations can help shape energy saving campaigns and future energy policy.

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“…Most demand forecasts refer to total electricity demand. The demand depends on technological, economic, behavioral, and regional aspects [4,130]. In [131], it is expected that energy demand in Germany will decrease and in the UK energy demand will increase, although, on a per capita basis, both counties increase their total electricity demand by around 0.5%.…”

Section: Perspectives and Developmentsmentioning

confidence: 99%

Sustainable Residential Energy Supply: A Literature Review-Based Morphological Analysis

Arens¹,

Schlüters²,

Hanke³

et al. 2020

Energies

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The decarbonization of the energy system will bring substantial changes, from supranational regions to residential sites. This review investigates sustainable energy supply, applying a multi-sectoral approach from a residential site perspective, especially with focus on identifying crucial, plausible factors and their influence on the operation of the system. The traditionally separated mobility, heat, and electricity sectors are examined in more detail with regard to their decarbonization approaches. For every sector, available technologies, demand, and future perspectives are described. Furthermore, the benefits of cross-sectoral integration and technology coupling are examined, besides challenges to the electricity grid due to upcoming technologies, such as electric vehicles and heat pumps. Measures such as transport mode shift and improving building insulation can reduce the demand in their respective sector, although their impact remains uncertain. Moreover, flexibility measures such as Power to X or vehicle to grid couple the electricity sector to other sectors such as the mobility and heat sectors. Based on these findings, a morphological analysis is conducted. A morphological box is presented to summarize the major characteristics of the future residential energy system and investigate mutually incompatible pairs of factors. Lastly, the scenario space is further analyzed in terms of annual energy demand for a district.

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Household electricity consumption and CO 2 emissions in the Netherlands: A model-based analysis

Cited by 38 publications

References 48 publications

A methodology for performance robustness assessment of low-energy buildings using scenario analysis

A methodology for performance robustness assessment of low-energy buildings using scenario analysis

Determinants of high electrical energy demand in UK homes: Socio-economic and dwelling characteristics

Sustainable Residential Energy Supply: A Literature Review-Based Morphological Analysis

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