The energy footprint of houses can be reduced by replacing the aging stock with higher density and more efficient homes equipped on-site renewable production. In this study, a “double density” simulation scenario is considered where each existing detached house in community replaced two equal living area on same land lot. new were assumed to several efficiency measures (envelope, HVAC, domestic...

This paper evaluates an intervention that randomized information letters about energy efficient investments and behaviors among 120,000 customers of two utilities in Germany. We find conservation effects differ considerably between both utilities, ranging from a precisely estimated zero effect to ?1.4%. By contrast, we do not detect significant framing presenting savings monetary or ecological ...

The paper describes OptiHab study, done in the framework of the MARIE project. The objective of OptiHab is to provide technical and economic information to optimize the energy renovation of residential sector in Catalonia, ensuring the comfort of the users. The information of the study gives the criteria to develop regional strategies and policies to improve the energy efficiency of the residen...

Crowdsourcing has been successfully applied in many domains including astronomy, cryptography and biology. In order to test its potential for useful application in a Smart Grid context, this paper investigates the extent to which a crowd can contribute predictive hypotheses to a model of residential electric energy consumption. In this experiment, the crowd generated hypotheses about factors th...

We explore two split incentive issues between owners and occupants of residential dwellings: heating or cooling incentives are suboptimal when the occupant does not pay for energy use, and insulation incentives are suboptimal when the occupant cannot perfectly observe the owner's insulation choice. We empirically quantify the effect of these two market failures and how they affect behavior in C...

This paper uses a model of durable good purchase and usage to estimate the longrun effect of energy rates on residential energy demand. Whereas previous attempts to estimate energy demand have predominantly taken durable good portfolios as given, this model endogenizes durable good holdings with a model in which households consider the tradeoff between purchase cost and operating cost in decidi...

Non intrusive load monitoring (NILM), or energy disaggregation, is the process of separating the total electricity consumption of a building as measured at single point into the building’s constituent loads. Previous research in the field has mostly focused on residential buildings, and although the potential benefits of applying this technology to commercial buildings have been recognised sinc...

Residential energy consumptions of both electricity and fuels are associated with emissions of many air pollutants. Temporally and spatially resolved energy consumption data are scarce in China, which are critical for a better understanding of their environmental impacts. In this study, a space-for-time substitution method was proposed and two models for predicting fuel and electricity consumpt...