EFFE EFFECT CT EVIDENCE FROM PUBLIC BUILDING ENERGY CONSUMPTION - - PowerPoint PPT Presentation

DISCL DISCLOSURE OSURE EFFE EFFECT CT

EVIDENCE FROM PUBLIC BUILDING ENERGY CONSUMPTION

Presenter: Brendon Dorn

BACK CKGR GROUND OUND

(Not excessive)

LANDSCAPE

IDENTIFICATION STRATEGY

Measure: Energy Use Intensity (EUI) – Miles per Gallon for buildings

EUI = 120

IDENTIFICATION STRATEGY

Reported per square foot and per year in common energy unit: kBtu Site EUI: 197 kBtu/sf/year Source EUI: 390 kBtu/sf/year

Source: Portfolio Manager Technical Reference, March 2016, CBECS Medical Inpatient

DATA AND A AND EMPIRICAL EMPIRICAL ESTIMA ESTIMATION TION

ANALYSIS INTRODUCTION

1) Economics of Information Disclosure isolated to:

• i. Market Efficiency
• ii. Supply and Demand Responses

DATA AND EMPIRICAL ESTIMATION

Using building (n=19,988) energy consumption data from cities with mandatory disclosure policies, I estimate the effect of disclosing information to the public absent market motivation

IDENTIFICATION STRATEGY EUI

Policy and Public Database

(+) (-) (0) y = mx + b + e where y is energy use x is policy implementation m is the slope (+ ,- , 0) e is error (random)

RESUL RESULTS, TS, CONL CONLCL CLUSION USION & & RECOMM RECOMMEND ENDATIONS TIONS

RESULTS

Model results suggest between 2%-6% decrease in energy consumption during period after disclosure

Considerations and Conclusions

1) Further robustness checks for model; add EISA

• bservations

2) Reference point is key – minimize adverse effects such as rebound 3) Advocate more cities to adopt benchmarking as mandate or voluntarily

i. Experiment with messages to maximize the response to the public disclosure

RECOMMENDATIONS (Policy)

1) Advocate more cities to adopt benchmarking as mandate or voluntarily 2) Experiment with messages to maximize the response to the public disclosure