4 Items

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Journal Article - Renewable and Sustainable Energy Reviews

Balancing Solar PV Deployment and RD&D: A Comprehensive Framework for Managing Innovation Uncertainty in Electricity Technology Investment Planning

| July 2016

This article shows that it is possible to unify several realistic features of the deployment and development problem for the electricity sector to meet sustainability goals into one framework.

Report - Energy Technology Innovation Policy Project, Belfer Center

Commercializing Second-Generation Biofuels: Scaling Up Sustainable Supply Chains and the Role of Public Policy

The promise, prospects, and public policy trade-offs related to the greater use and production of second-generation biofuels were addressed in an executive session convened by the Harvard Kennedy School on November 13 and 14, 2014. The session attracted more than 25 of the world's leading experts from the fields of policy, science, and business for an intensive two day session. The agenda consisted of three sessions focused on (i) the sustainability of cellulosic supply chains, (ii) government policy options to attract investment and (iii) government policy options to ensure that environmental objectives are met.

Report - Science, Technology, and Public Policy Program, Belfer Center

Inventing the Future to Address Societal Challenges: Venky Narayanamurti's 75th Birthday

| September 19-20, 2014

Some of America's most distinguished leaders in academia, science, and technology gathered at Harvard on September 19 and 20, 2014, to celebrate the 75th birthday of renowned Harvard scientist Venkatesh "Venky" Narayanamurti — and to discuss the future of innovation in America.

Discussion Paper - Energy Technology Innovation Policy Project, Belfer Center

Electricity Technology Investments under Solar RD&D Uncertainty: How Interim Learning and Adaptation Affect the Optimal Decision Strategy

| December 2014

The authors present a new modeling framework for studying optimal generating capacity and public RD&D investments in the electricity sector under decision-dependent RD&D uncertainty and learning.