### Abstract

Original language | English |
---|---|

Number of pages | 10 |

Journal | Applied Energy |

Early online date | 27 Jun 2013 |

DOIs | |

Publication status | Published - 2013 |

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### Keywords

- optimal sampling plan
- clean development mechanism
- energy efficiency
- lighting projects
- lighting
- CDM
- sample size determination

### Cite this

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**Optimal sampling plan for clean development mechanism energy efficiency lighting projects.** / Ye, Xianming; Xia, Xiaohua; Zhang, Jiangfeng.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Optimal sampling plan for clean development mechanism energy efficiency lighting projects

AU - Ye, Xianming

AU - Xia, Xiaohua

AU - Zhang, Jiangfeng

PY - 2013

Y1 - 2013

N2 - Clean development mechanism (CDM) project developers are always interested in achieving required measurement accuracies with the least metering cost. In this paper, a metering cost minimisation model is proposed for the sampling plan of a specific CDM energy efficiency lighting project. The problem arises from the particular CDM sampling requirement of 90% confidence and 10% precision for the small-scale CDM energy efficiency projects, which is known as the 90/10 criterion. The 90/10 criterion can be met through solving the metering cost minimisation problem. All the lights in the project are classified into different groups according to uncertainties of the lighting energy consumption, which are characterised by their statistical coefficient of variance (CV). Samples from each group are randomly selected to install power meters. These meters include less expensive ones with less functionality and more expensive ones with greater functionality. The metering cost minimisation model will minimise the total metering cost through the determination of the optimal sample size at each group. The 90/10 criterion is formulated as constraints to the metering cost objective. The optimal solution to the minimisation problem will therefore minimise the metering cost whilst meeting the 90/10 criterion, and this is verified by a case study. Relationships between the optimal metering cost and the population sizes of the groups, CV values and the meter equipment cost are further explored in three simulations. The metering cost minimisation model proposed for lighting systems is applicable to other CDM projects as well.

AB - Clean development mechanism (CDM) project developers are always interested in achieving required measurement accuracies with the least metering cost. In this paper, a metering cost minimisation model is proposed for the sampling plan of a specific CDM energy efficiency lighting project. The problem arises from the particular CDM sampling requirement of 90% confidence and 10% precision for the small-scale CDM energy efficiency projects, which is known as the 90/10 criterion. The 90/10 criterion can be met through solving the metering cost minimisation problem. All the lights in the project are classified into different groups according to uncertainties of the lighting energy consumption, which are characterised by their statistical coefficient of variance (CV). Samples from each group are randomly selected to install power meters. These meters include less expensive ones with less functionality and more expensive ones with greater functionality. The metering cost minimisation model will minimise the total metering cost through the determination of the optimal sample size at each group. The 90/10 criterion is formulated as constraints to the metering cost objective. The optimal solution to the minimisation problem will therefore minimise the metering cost whilst meeting the 90/10 criterion, and this is verified by a case study. Relationships between the optimal metering cost and the population sizes of the groups, CV values and the meter equipment cost are further explored in three simulations. The metering cost minimisation model proposed for lighting systems is applicable to other CDM projects as well.

KW - optimal sampling plan

KW - clean development mechanism

KW - energy efficiency

KW - lighting projects

KW - lighting

KW - CDM

KW - sample size determination

U2 - 10.1016/j.apenergy.2013.05.064

DO - 10.1016/j.apenergy.2013.05.064

M3 - Article

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

ER -