The Develoyment Program of Energy Conservation and Comprehensive Utilization 2005-2007

Jointly published by 14 Department headed by Standardization Administraion ofChina(SAC) Subtitle: China will formulate and reformulate 926 standards for energy conservation andcomprehensive u-tilization during 2005 and 2007. In the past few days, 14 departments jointlypublished the Development Program of Energy Conservation and Comprehensive Utilization 2005-2007,(Program for short). They are Standardization Administration of China, National Development andReform Commission, Ministry of Land and Resources, Ministry of Establishment, Ministry ofCommunications, Ministry of Information Industry, Ministry of Waster Resources, Ministry ofAgriculture, Ministry of Commerce, General Administration of Quality Supervision, Inspection andQuarantine of the PRC, State Environmental Protection Administration, State Forestry Bureau, StateOceanic Administration and China Meteorological Bureau.

The Program for the Development of Chinese New and Renewable Energy (1996-2010) Worked Out

The State Science and Technology Commission, State Economic and Trade Commission, and State Planning Commission of China have jointly worked out the Program for the Development of Chinese New and Renewable Energy recently.

Energy Efficient Resource Allocation in Timesharing Multiuser Systems with Hybrid Energy Harvesting Transmitter

An energy effi cient resource allocation scheme in timesharing multiuser system with a hybrid energy harvesting transmitter is studied in this paper. Specially, the operation energy of system is supplied by constant energy and energy harvesting, which harvests energy from external environment. Our goal is to maximize the energy effi ciency of timesharing multiuser systems by considering jointly allocation of transmission time and power control in an off-line manner. The original nonconvex objective function is transformed into convex optimization problem via the fractional programming approach. Then, we solve the convex problem by Lagrange dual decomposition method. Simulation results show that the proposed energy efficient resource allocation scheme has a better performance than the scheme which decomposes optimization problem into two parts(power allocation, time allocation) to solve iteratively.

Optimization of energy efficiency for the full-duplex massive MIMO systems

The energy efficiency（EE） for the full-duplex massive multi-input multi-output（MIMO） system is investigated. Given the transmit powers of both the uplink and the downlink, the closed-form solutions of the optimal number of antennas and the maximum EE are achieved in the high regime of the signal-to-noise ratio（SNR）. It is shown that the optimal number of antennas and the maximum EE gets larger with the increase in user numbers. To further improve the EE, an optimization algorithm with low complexity is proposed to jointly determine the number of antennas and the transmit powers of both the uplink and the downlink. It is shown that, the proposed algorithm can achieve the system performance very close to the exhaustive search.

The Smart Grid Technology Development Strategy of Taiwan

In Taiwan, in corresponding to the policy of reducing CO2 emission, reforming current energy structure, and saving energy, the National Energy Program (NEP)-Smart Grid General Project Phase 1 was implemented. The objectives of this project are meant to enhance the robustness of the power grid, reduce greenhouse gas emission, increase the penetration rate of renewable energy and develop smart grid industry in Taiwan. This study will introduce the positioning of the Smart Grid General Project among overall smart grid development, the results of Phase 1, the smart grid technology commercialization process of Phase 2, and the promotion model with collaboration between industry, universities and research units.

Celanese Joins U.S.-China Energy Cooperation Program as Founding Management Board Member

Celanese Corporation has become a foundingcorporate member of the U.S.-China EnergyCooperation Program (ECP) and joined theentity’s founding management board.Celaneseannounced on December 23rd,2009.This reaffirms the company’s commitmentto environmentally sustainable growth inChina,the company’s fastest-growingregion.The mission of ECP,a private-sectorinitiated,managed and financedorganization,is to facilitate the adoption

Pricing and Inventory Control Strategy for a Periodic-Review Energy Buy-Back System

Along with the rapid development of economics and enhancement of industrialization, the power demand keeps rising and frequently creates mismatch between demand and supply in electricity.This provides miscellaneous energy buy-back programs with great opportunities. Such programs, when activated, offer certain amount of financial compensations to participants for reducing their energy consumption during peak time. They aim at encouraging participants to shift their electricity usage from peak to non-peak time, and thereby release the demand pressure during peak time. This paper considers a periodic-review joint pricing and inventory decision model under an energy buy-back program over finite planning horizons, in which the compensation levels, setup cost and additive random demand function are incorporated. The objective is to maximize a manufacturer's expected total profit.By using Veinott's conditions, it is shown that the manufacturer's optimal decision is a state dependent(s, S, P) policy under a peak market condition, or partly an(s, S, A, P) policy under the normal market condition.

OPTIMAL PRICING STRATEGY TO REDUCE FUEL CONSUMPTION IN ELECTRICITY GENERATION WITH SMART METER

It has been widely recognized that the efficiency of a thermal power system can be improved by technological advancement of electricity generation and manipulation of electricity consumption. The smart meter enables two-way communication between the customers and the electricity generation system. The electricity generation system uses price incentive （i.e. a higher price in the peak period and a lower price in the off-peak period） to shift part of demands from peak to off-peak period under the smart grid environment. Given the fact that fuel consumption in each period is a strictly increasing convex function of power output, we propose two-period and multi-period pricing strategies, and study the effect of different pricing strategies on reducing fuel consumption.