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Munk, Jeffrey D.

Publications and source records attributed to Munk, Jeffrey D..

9 records
All sourcesNASA NTRSDOE OSTI
DOE OSTI2019

Furnace and Water Heater Venting Field Demonstration

A field demonstration was performed to evaluate the venting performance of the M&G DuraVent FasNSeal 80/90 venting system. The venting system uses a unique pipe within a pipe design to vent a condensing furnace and an natural-draft water heater, and can enable a condensing furnace to be installed in a home in which a condensing furnace could not otherwise be installed due to venting constraints. The field demonstration found that the FasNSeal 80/90 venting system successfully vented the orphaned water heater in each of the 16 demonstration homes and that the venting performance of the FasNSeal 80/90 venting system is generally comparable to the performance of venting systems initially installed in the 16 homes.

42 ENGINEERING↗
DOE OSTI2019

Refrigerant charge management in an integrated heat pump

A heat pump including an integrated system for the management of refrigerant charge is provided. The heat pump includes an indoor line and an outdoor line that are connected to a compressor through a reversing valve. Refrigerant charge is managed by coupling the inactive line to the suction side of the compressor. For example, the heat pump can include an expansion valve to couple the inactive line to the compressor to supplement the flow-rate of refrigerant. The heat pump is operable in a dedicated water heating mode and a space cooling and water heating mode in some embodiments, while other modes of operation are contemplated in other embodiments.

42 ENGINEERING↗
DOE OSTI2018

A hybrid building thermal modeling approach for predicting temperatures in typical, detached, two-story houses

Within the residential building sector, the air-conditioning (AC) load is the main target for peak load shifting and reduction since it is the largest contributor to peak demand. By leveraging its power flexibility, residential AC is a good candidate to provide building demand response and peak load shifting. For realization of accurate and reliable control of AC loads, a building thermal model, which characterizes the properties of a building’s envelope and its thermal mass, is an essential component for accurate indoor temperature or cooling/heating demand prediction. Building thermal models include two types: “Forward” and “Data-Driven”. Due to time-saving and cost-effective characteristics, different data-driven models have been developed in a number of research studies. However, few developed models can predict temperatures in respective zones of a multiple-zone building with an open air path between zones e.g., an open stairwell connecting two floors of a home. In this research, a novel hybrid modeling approach is proposed to predict the average indoor air temperatures of both the upstairs and downstairs. This “hybrid” solution integrates both gray-box, i.e. RC model and black-box models. A developed RC model is used to predict the building mean temperature, and black-box model, in which the supervised machine learning algorithms are leveraged, is used to predict the temperature difference between the downstairs and upstairs. Compared with the measured data from a real house, the results obtained have acceptable/satisfactory accuracy. The method proposed in this study integrates the advantages of black-box and gray-box modeling. As a result, it can be used as a reliable alternative to predict the average temperatures in respective floors of typical detached two-story houses.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2018

Comparison Evaluations of VRF and RTU Systems Performance on Flexible Research Platform

The energy performance of a variable refrigerant flow (VRF) system was evaluated using an occupancy-emulated research building in the southeastern region of the United States. Full- and part-load performance of the VRF system in heating and cooling seasons was compared with a conventional rooftop unit (RTU) variable-air-volume system with electric resistance heating. During both the heating and cooling seasons, full- and part-load conditions (i.e., 100%, 75%, and 50% thermal loads) were maintained alternately for 2 to 3 days each, and the energy use, thermal conditions, and coefficient of performance (COP) for the RTU and VRF system were measured. During the cooling season, the VRF system had an average COP of 4.2, 3.9, and 3.7 compared with 3.1, 3.0, and 2.5 for the RTU system under 100%, 75%, and 50% load conditions and resulted in estimated energy savings of 30%, 37%, and 47%, respectively. Finally, during the heating season, the VRF system had an average COP ranging from 1.2 to 2.0, substantially higher than the COPs of the RTU system, and resulted in estimated energy savings of 51%, 47%, and 27% under the three load conditions, respectively.

42 ENGINEERING↗
DOE OSTI2018

Survey of existing and emerging power conversion technologies relevant to a self-powered furnace

Furnaces for residential space heating consume about 2.5% of all annual primary energy consumed in the US. Conventional furnaces utilize electricity from the electric grid to power blowers and other components. A self-powered furnace would utilize fuel energy to generate its own power, while rejecting the waste heat from the power cycle to provide additional useful building heating. Assuming the total energy use remains the same as for a conventional furnace, there are advantages in primary energy efficiency and operating cost. With no electrical connection to the grid, the self-powered furnace also improves resiliency to electric grid outages and reduces demand on the grid, which can be important during periods of peak heating. In addition, when unit size and venting type are maintained, a drop-in replacement with no incremental installation cost and increased potential for market adoption is achieved. In this work, the power generation requirements for such a drop-in-ready, self-powered furnace are analyzed, and available power generation technologies are surveyed.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2017

Field testing of two prototype air-source integrated heat pumps for net zero energy home (nZEH) application

By integrating multiple functions into a single system it offers potential efficiency and cost reduction benefits. Oak Ridge National Laboratory (ORNL) and its partners have designed, developed, and tested two air-source heat pump designs that not only provide space heating and cooling, but also water heating, dehumidification, and ventilation functions. Some details on the design, simulated performance, prototype field test, measured performance, and lessons learned are provided.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
DOE OSTI2017

Air-Source Integrated Heat Pump System Development – Final Report

Between October 2007 and September 2017, Oak Ridge National Laboratory (ORNL) and Lennox Industries, Inc. (Lennox) engaged in a Cooperative Research and Development Agreement (CRADA) to develop an air-source integrated heat pump (AS-IHP) system for the US residential market. The Lennox AS-IHP concept consisted of a high-efficiency air-source heat pump (ASHP) for space heating and cooling services and a separate heat pump water heater/dehumidifier (WH/DH) module for domestic water heating and dehumidification (DH) services. A key feature of this system approach with the separate WH/DH is capability to pretreat (i.e., dehumidify) ventilation air and dedicated whole-house DH independent of the ASHP. Two generations of laboratory prototype WH/DH units were designed, fabricated, and lab tested. Performance maps for the system were developed using the latest research version of the US Department of Energy/ORNL heat pump design model (Rice 1992; Rice and Jackson 2005; Shen et al. 2012) as calibrated against the lab test data. These maps served as the input to TRNSYS (Solar Energy Laboratory et al. 2010) to predict annual performance relative to a baseline suite of equipment meeting minimum efficiency standards in effect in 2006 (i.e., a combination of an ASHP with a seasonal energy efficiency ratio (SEER) of 13 and resistance water heater with an energy factor (EF) of 0.9). Predicted total annual energy savings (based on use of a two-speed ASHP and the second-generation WH/DH prototype for the AS-IHP), while providing space conditioning, water heating, and dehumidification for a tight, well-insulated 2600 ft2 (242 m2) house at three US locations, ranged from 33 to 36%, averaging 35%, relative to the baseline system. The lowest savings were seen at the cold-climate Chicago location. Predicted energy use for water heating was reduced by about 50 to 60% relative to a resistance WH.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗