Preliminary assessment of the Louisiana Home Energy Rebate Offer program using IPMVP guidelines

Kaiser, Mark J.; Pulsipher, Allan G.

doi:10.1016/j.apenergy.2009.08.001

Cited by 23 publications

(8 citation statements)

References 19 publications

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“…The IPMVP was developed in 1994–1995 by a coalition of international organizations, led by the United States Department of Energy [13]. …”

Section: Introductionmentioning

confidence: 99%

“…The Protocol has become the national measurement and verification standard in the United States and many other countries [13]. A major driving force for the standard was the need for a common protocol to verify savings claimed by Energy Service Companies (ESCOs), when implementing Energy Conservation Measures (ECMs).…”

Section: Introductionmentioning

confidence: 99%

“…Option C assesses savings by analyzing utility bills before and after the implementation of the ECM. Option D uses simulations of equipment or facilities, when base year or post-retrofit data are unreliable or unavailable [13]. These four options of A, B, C and D are recommended by the IPMVP to measure saved energy.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Sensor Platform Matching the Improved Version of IPMVP Option C for Measuring Energy Savings

Tseng

Lee

Lin

et al. 2013

Sensors

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It is easy to measure energy consumption with a power meter. However, energy savings cannot be directly computed by the powers measured using existing power meter technologies, since the power consumption only reflects parts of the real energy flows. The International Performance Measurement and Verification Protocol (IPMVP) was proposed by the Efficiency Valuation Organization (EVO) to quantify energy savings using four different methodologies of A, B, C and D. Although energy savings can be estimated following the IPMVP, there are limitations on its practical implementation. Moreover, the data processing methods of the four IPMVP alternatives use multiple sensors (thermometer, hygrometer, Occupant information) and power meter readings to simulate all facilities, in order to determine an energy usage benchmark and the energy savings. This study proposes a simple sensor platform to measure energy savings. Using usually the Electronic Product Code (EPC) global standard, an architecture framework for an information system is constructed that integrates sensors data, power meter readings and occupancy conditions. The proposed sensor platform is used to monitor a building with a newly built vertical garden system (VGS). A VGS shields solar radiation and saves on energy that would be expended on air-conditioning. With this platform, the amount of energy saved in the whole facility is measured and reported in real-time. The data are compared with those obtained from detailed measurement and verification (M&V) processes. The discrepancy is less than 1.565%. Using measurements from the proposed sensor platform, the energy savings for the entire facility are quantified, with a resolution of ±1.2%. The VGS gives an 8.483% daily electricity saving for the building. Thus, the results show that the simple sensor platform proposed by this study is more widely applicable than the four complicated IPMVP alternatives and the VGS is an effective tool in reducing the carbon footprint of a building.

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“…The IPMVP was developed in 1994–1995 by a coalition of international organizations, led by the United States Department of Energy [13]. …”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Sensor Platform Matching the Improved Version of IPMVP Option C for Measuring Energy Savings

Tseng

Lee

Lin

et al. 2013

Sensors

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“…Fels et al [11] were the first to utilize a similar concept, of the variable-base degreeday in retrofitting. A similar approach was used in [12]. Here, we expand this concept by increasing its resolution at the hour level.…”

Section: [ ]mentioning

confidence: 99%

A Methodology for Introducing M&V Adjustments during an Energy Retrofit Impact Assessment

Sakkas¹,

Kaltsis²

2014

OJEE

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The assessment of an energy retrofit necessarily requires an energy measurement campaign before (base year energy consumption) and after (post retrofit energy consumption) the retrofit. Only in this way is it possible to reach a safe conclusion, on the true retrofit impact. In addition, a number of adjustments are necessary to secure that the retrofit impact on energy consumption is effectively isolated, i.e., which we report on the true retrofit impact and not, for example, on external variations, such as a more mild winter. This paper introduces a conceptual framework for taking account, in the retrofit impact assessment, of three external parameters: weather, indoor comfort and space occupancy. The broader strategy behind this work is to develop a comprehensive methodology that would allow a cost efficient, fast and accurate assessment of energy retrofits in buildings. This would allow insight, on the investor side, as to the prudence of his investment and, and in this way, could help the proliferation of the practice of energy retrofits. The adjustment methodology, introduced here, is a first step in this direction.

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“…Statistical criteria to assess goodness-of-fit of baseline models in terms of the R 2 and CVRMSE are discussed in [23]. And [16] develops a regression model to characterise the relationship between daily energy consumption and energy governing factors such as degree days, humidity, and fuel prices to assess the energy saving performance of the Louisiana Home Energy Rebate Offer (HERO) programme. In order to quantify the industrial energy savings, [17] uses multi-variable piece-wise regression models to develop energy baselines, which can be adjusted by weather and production data over the post-retrofit period.…”

Section: Introductionmentioning

confidence: 99%

Optimal metering plan for measurement and verification on a lighting case study

Xia

2016

Energy

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Measurement and Verification (M&V) has become an indispensable process in various incentive energy efficiency and demand side management (EEDSM) programmes to accurately and reliably measure and verify the project performance in terms of energy and/or cost savings. Due to the uncertain nature of the unmeasurable savings, there is an inherent trade-off between the M&V accuracy and M&V cost. In order to achieve the required M&V accuracy cost-effectively, we propose a combined spatial and longitudinal metering cost minimisation (MCM) model to assist the design of optimal M&V metering plans, which minimises the metering cost whilst satisfying the required measurement and sampling accuracy of M&V. The objective function of the proposed MCM model is the M&V metering cost that covers the procurement, installation and maintenance of the metering system whereas the M&V accuracy requirements are formulated as the constraints. Optimal solutions to the proposed MCM model offer useful information in designing the optimal M&V metering plan. The advantages of the proposed MCM model are demonstrated by a case study of an EE lighting retrofit project and the model is widely applicable to other M&V lighting projects with different population sizes and sampling accuracy requirements.Keywords: Energy Efficiency, Lighting, M&V, Sampling. Nomenclature Variables

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Preliminary assessment of the Louisiana Home Energy Rebate Offer program using IPMVP guidelines

Cited by 23 publications

References 19 publications

A Novel Sensor Platform Matching the Improved Version of IPMVP Option C for Measuring Energy Savings

A Novel Sensor Platform Matching the Improved Version of IPMVP Option C for Measuring Energy Savings

A Methodology for Introducing M&V Adjustments during an Energy Retrofit Impact Assessment

Optimal metering plan for measurement and verification on a lighting case study

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Preliminary assessment of the Louisiana Home Energy Rebate Offer program using IPMVP guidelines

Cited by 23 publications

References 19 publications

A Novel Sensor Platform Matching the Improved Version of IPMVP Option C for Measuring Energy Savings

A Novel Sensor Platform Matching the Improved Version of IPMVP Option C for Measuring Energy Savings

A Methodology for Introducing M&amp;V Adjustments during an Energy Retrofit Impact Assessment

Optimal metering plan for measurement and verification on a lighting case study

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Product

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A Methodology for Introducing M&V Adjustments during an Energy Retrofit Impact Assessment