Electric power transmission and distribution systems : costs and their allocation

National Science Foundation Grant no. SIA73-07871 A0

The future of the U.S. nuclear energy industry

NSF-RANN Grant no.SIA73-07871 A02 and the Ford Foundatio

Methodology and results of the impacts of modeling electric utilities ; a comparative evaluation of MEMM and REM

This study compares two models of the U.S. electric utility industry including the EIA's electric utility submodel in the Midterm Energy Market Model (MEMM), and the Baughman-Joskow Regionalized Electricity Model (REM). The method of comparison emphasizes reconciliation of differences in data common to both models, and the performance of simulation experiments to evaluate the empirical significance of certain structural differences in the models

Dynamic energy system modeling - interfuel competition

Also issued as a Ph.D. thesis in the Dept. of Electrical Engineering, 1972This work reports the formulation, development, validation, and applications of a medium to long range dynamic model for interfuel competition in the aggregated U. S. The economic cost structure, investment decisions, and physical constraints are included specifically in the supply models for coal, oil, natural gas, and nuclear fuels, as well as in the consuming sectors residential and commercial, industrial processing, transportation and electricity. The model simulates the development of supply, the fuel selection process in the consuming sectors, the depletion of the resources, and resolves these into fuels consumed cost-price trends in the energy markets of the U. S. The validation issue is addressed at length through a number of considerations, including comparing the model performance to past reported behavior of the energy system. it is applied to a series of scenarios or case studies to assess the impact of a variety of technologies, policy considerations, and postulated occurrences on the future energy outlook. Here it is seen the model can be a useful tool, forcing a consistent assessment of possible future trends. The model is useful for depicting the effects of policy or hypothesized changes in our energy economy in a complete system framework

Modeling of electric power demand growth

Paper given at MIT conference entitled Energy: Demand, Conservation and Institutional Problems, February 12-15, 197

2,4-Dinitrophenylhydrazones of 2,4-dihydroxybenzaldehyde, 2,4-dihydroxyacetophenone and 2,4-dihydroxybenzophenone

In 2,4-dihydroxybenzaldehyde 2,4-dinitrophenylhydrazone N,N-dimethylformamide solvate (or 4-[(2,4-dinitrophenyl)-hydrazonomethyl]benzene-1,3-diol N,N-dimethylformamide solvat

Small-Molecule Ligands of Methyl-Lysine Binding Proteins: Optimization of Selectivity for L3MBTL3

Lysine methylation is a key epigenetic mark, the dysregulation of which is linked to many diseases. Small molecule antagonism of methyl-lysine (Kme) binding proteins that recognize such epigenetic marks can improve our understanding of these regulatory mechanisms and potentially validate Kme binding proteins as drug discovery targets. We previously reported the discovery of 1 (UNC1215), the first potent and selective small molecule chemical probe of a methyl-lysine reader protein, L3MBTL3, which antagonizes the mono- and dimethyl-lysine reading function of L3MBTL3. The design, synthesis, and structure activity relationship studies that led to the discovery of 1 are described herein. These efforts established the requirements for potent L3MBTL3 binding and enabled the design of novel antagonists, such as compound 2 (UNC1679), that maintain in vitro and cellular potency with improved selectivity against other MBT-containing proteins. The antagonists described were also found to effectively interact with unlabeled endogenous L3MBTL3 in cells