Table 4.

Table of models used in literature included in review.

Model name	Acronym	Model Type	Developer	Studies used
U.S. Regional Energy Policy	USREP	Computable general equilibrium model	MIT	(72, 74, 77)
Haiku	Haiku	Capacity expansion model	Resources for the Future	(23)
MyPower	MyPower		Meier engineering research	(80)
MARKet ALlocation	MARKAL		International energy agency	(76)
Regional energy deployment system	ReEDS		NREL	(82)
Integrated planning model	IPM		ICF	(73)
GridView	GridView	Production cost model	ABB	(84)
AVoided emissions and geneRation Tool	AVERT	Data and analysis tool	U.S. EPA	(83–86)
Greenhouse gases, regulated emissions, and energy use in transportation	GREET	Mobile emissions simulator	Argonne national laboratory	(90)
MOtor vehicle emission simulator	MOVES		U.S. EPA	(89, 93, 94)
Community multiscale air quality	CMAQ	Full physics air quality model	U.S. EPA	(73, 76, 80, 84, 85, 88, 89, 91, 92)
Comprehensive air quality model with extensions	CAMx		Ramboll environ	(26, 72, 74, 87, 93)
Weather Research and Forecasting coupled with Chemistry	WRF-Chem		NCAR	(78)
Tracking and analysis framework	TAF	Reduced form air quality model	U.S. DOE	(23)
Air pollution emission experiments and policy analysis	APEEP/AP2		N. Muller, Carnegie Mellon	(82, 83, 90)
CO–benefits risk assessment	COBRA		U.S. EPA	(75, 79)
Electrical policy simulation tool for electrical grid intervention	EPSTEIN		J. Buonocore et al. Harvard	(81, 86)
Estimating air pollution social impact using regression	EASIUR		J. Heo and P. Adams, Carnegie Mellon	(83, 86, 90)
Intervention model for air pollution	InMAP		C. Tessum, J. Hill, and J. Marshall	(77)
Environmental benefits mapping and analysis program	BenMAP	Health benefits model	U.S. EPA	(72–74, 78, 84, 85)

Table includes type, developer, and studies used.