Gas-energy observatory

Abstract
Heating is a significant factor in residential gas-energy usage. Saving energy on heating is receiving increasing attention with rising energy prices and the Kyoto Protocol on reducing greenhouse gas emissions. Energy awareness and energy efficiency hereby become important qualifications for human behavior and residential building codes, and become a factor in the evolution of the global climate. Here, we describe a novel measurement and validation system for domestic gas-energy usage in combination with primary weather data. We disclose a gas-energy observatory which visualizes human behavior in gas-energy consumption associated with domestic facilities, and measures home energy efficiency by calorimetry. Weather-sensitivity analysis quantifies energy-usage as a function of small variations in room temperature and home energy efficiency. Weather-sensitivity data can be used to calculate changes in room-temperature settings or improvements in home insulation for a desired reduction in CO2-output. By public dissemination of its primary weather data, it creates in dual-use at no additional cost a novel in-situ climate observational systems with unprecedented wide-area coverage and spatial resolution.
Description
PREFERRED EMBODIMENTS

The preferred embodiment follows current trends in small, smart and easy-to-use, while paying attention to safety, reliability, data-integrity and battery-free operation to facilitate decade-long observations.


The preferred embodiment for measuring gas-energy usage is the CMOS-based electronic gas meter disclosed earlier (van Putten et al. 1974-5, 1985, 1994-7, 1999, 2001-2) based on a novel principle of thermodynamic anemometry (van Putten et al. 2006). The electronic gas-meter has been tested for safety in the form of a leak-test at 5 bar helium, which far exceeds the requirements of a domestic gas-meter. The same physical unit collects temperature data from both outside and inside, the latter possibly from multiple sensing points. The combined gas-meter, a wireless interface to temperature sensors and micro-electronics for data-archiving and data-analysis comprises the basic hardware of the VP-GEO unit. The concentration of these functions into one unit at the level of the gas-meter is motivated by requirements of reliability and data-integrity. For safe battery-free operation, the VP-GEO is powered by a standard outside adapter, connected to the wall or main electrical power cable.


The preferred embodiment for the temperature sensors is a solar-cell powered wireless unit with high-performance capacitor for short-duration energy storage. It serves to produce temperature measurements at low-frequency sampling and data-transmission rates to the VP-GEO. We estimate that an update frequency of about once per hour suffices for the intended weather-sensitivity analysis and interactive energy saving climate control algorithms. The same temperature sensor unit can be used for both inside and outside temperature measurements. Measurement of inside temperatures can further be performed at various locations, should differentiation for climate-control of different rooms be desirable. However, the inside temperature measurements need not be communicated to the VP-GEO but, rather, to a climate control unit.


In the preferred embodiment, a climate control unit (CCU) is centrally located and connected to the VP-GEO by wireless communication. The preferred communication channel is a widely used open commercial link, e.g., Bluetooth, allowing access by the user through a home computer, PDA or mobile phone. (These open channels can still be password encrypted.) The CCU serves serveral user-friendly and climate control functions. It presents snapshots of human behavior in gas-energy usage by real-time gas-flow measurements (FIG. 2), outside temperatures (second window of FIG. 1), room temperature(s), statistics (FIGS. 3-4), and the weather-sensitivity estimates TCS and HEE.


Specifically, the CCU features the following preferred interactive information and energy-saving features.


Visualization of gas-energy usage representing gas-flow measurements at a high-sampling rate on the order of 1 Hz (0.4 Hz in our field-test), complemented with various graphs of gas-energy usage histories. The histories including histograms of gas-energy usage partitioned over a various time-frames of the day, notably





(1) 0:00-8:00, (2) 8:00-16:00, (3) 16:00-24:00 hr.   (3)


Each time-frame reflects different different outside temperatures and human activities in regards to residential facilities.

Weather-sensitivity analysis representing the quantities TCS and HEE, detailed in Eqs.(1-2). TCS can be presented as weekly, monthly or yearly averages. As a refinement, they can further be generated by data from each of the aforementioned time-frames (3) in order to detect the time-frame most sensitive to weather, and hence most amenably to energy savings. The TCS and HEE are archived for long-term storage to monitor the overall performance of the home and climate system, to serve as a reference in the validation of future home-improvements, to detect aging effects in heating system and home-insulation and to create an energy label for the home on the housing market.


Climate-control algorithms for an optimal balance between comfort and economy in energy usage:

    • Stand-by mode: a low-temperature mode when no one is present in the home. The stand-by mode can be operated manually and by mobile phone through GPRS. Operation by mobile phone with password allows the user to switch-off and switch-on the home-climate system during trips away from home.
    • CO2-saving knob: a small-step decrease in home-temperature calculated on the basis of TCS with the aim of achieving a specific CO2-reduction target. This feature, when used successively, allows a gradual change in home-climate, on a time-scale of human adaptation. For example, a 5% CO2-saving knob corresponds to a room-temperature decrease by 0.14K in our field-test study.
    • Helios climate mode: a home-climate correlated to weather. Correlating the inside temperature to the outside temperature consistent with the human biological clock, providing a natural swing between high- and low-temperatures during the day and night. For example, a linear Helios climate imposes an inside temperature satisfying






T
inside
=T
0
+C*f(Toutside),   (4)


where C denotes a correlation coefficient with the outside temperature Toutside and T0 a mean, minimal or maximal inside temperature. Here, f might represent a high-pass filter, to pass on the swing in outside temperatures while suppressing the mean in the same. In general, a Helios climate is subject to constraints to ensure safety and minimum comfort and health standards. Safety requires a home-temperature to remain well above zero degrees Celcius to prevent freezing while for health, a home-temperature must be sufficiently high to prevent a cold, humid home-climate to set in.


Some of the above features can be combined. The constants T0 and C in (4) can be changed when using the CO2-saving feature. On the basis of TCS, we can change them to target a specific CO2-savings. In the case at hand, TCS predicts a 5% CO2-savings upon lowering the daily mean inside temperature by 0.14K.


It will be appreciated that a climate control which results in little heating tends to produce a small TCS. (Notice that HEE is independent of climate control). In particular, zero heating, e.g., during warm periods of the year, produces zero TCS. Energy-saving typically follows an increase in C in (4), allowing a larger swing in inside temperature through an enhanced correlation between inside and outside temperature. Notice that the limit of no heating and open windows gives Tinside=Toutside. This limit can be used to define a maximal value of C.


The preferred embodiments presented here serve to illustrate the main VP-GEO concept of approaching energy savings through climate-control on the basis of advanced measurement and data-analysis of gas-energy usage and weather data. In practice, variations in the detailed implementation of the VP-GEO concept are possible, while remaining within the general frame-work set forth in the following claims.

Claims
  • 1. A method for observing and analyzing domestic gas-energy usage with the property that said method identifies human behavior and weather sensitivity therein on the basis of gas-flow measurements and outside temperatures, where said human behavior is visualized at generally high sampling rates to identify energy consumption patterns associated with each residential facility, where said weather sensitivity identifies a Total Climate Sensitivity (TCS) and Home Energy Efficiency (HEE), where said TCS expresses sensitivity of total gas-energy usage to the most recent weather pattern, where said HEE expresses sensitivity of gas-energy usage in heating about a specific fixed outside temperature characteristic of cold weather, where said TCS and HEE are calculated on the basis of best-fit functional approximations to the data.
  • 2. A method for energy-saving home-climate control with the property that the inside temperature is correlated to the outside temperature, where the strength of said correlation is governed by Total Climate Sensitivity (TCS) by weather sensitivity analysis on gas-energy usage and recently observed outside temperatures, where said TCS expresses sensitivity of total gas-energy usage to the most recent weather pattern, where said TCS is calculated on the basis of best-fit functional approximations to the data, where said climate control is subject to standard temperature limits to safeguard home, comfort and health.
  • 3. A method for energy-saving home-climate control with the property that said home-climate can be switched into normal and stand-by mode by remote access, where said normal mode refers to a home-climate with persons present at home and said stand-by mode refers to a home-climate with no persons present at home, where said stand-by mode is subject to standard temperature limits to safeguard home against freezing and high humidity, where said remote access is by mobile phone or internet with password or pincode protection.
  • 4. A method for observing and analyzing domestic gas-energy usage according to claim 1 with the property that TCS and HEE are archived in a central data-storage where TCS serves to detect long-term trends in home-climate and HEE serves to detect long-term trends in the efficiency in heating equipment and home-insulation including validation of home-improvements.
  • 5. A method for observing and analyzing domestic gas-energy usage according to claim 1 with the property that said TCS is calculated for different time-frames of the day, said time-periods reflecting different types of human activity and heating, where said time-frames generally include 0:00-8:00, 8:00-16:00 and 16:00-24:00 hr.
  • 6. A method for observing and analyzing domestic gas-energy usage according to claim 1 with the property that TCS and HEE are used as home energy quality labels on the housing market, where said housing market includes appraisal, mortgages and sales.
  • 7. A method for observing and analyzing domestic gas-energy usage according to claim 1 with the property that said weather data are centrally collected by state or government agency for the purpose of creating a wide-area in-situ climate observation system.
  • 8. A method for energy-saving home-climate control according to claim 2 with the property that a user-friendly one-button switch enforces a pre-set percentage in energy savings, where said energy-savings is achieved by increasing the correlation between inside and outside temperature, where said increase in correlation is determined by said Total Climate Sensitivity (TCS).
  • 9. A method for energy-saving home-climate control according to claim 2 with the property that direct user-feedback accompanies a new home-climate set-point chosen by the user, where said user-feedback consists of a predicted energy-savings, where said prediction is calculated on the basis Total Climate Sensitivity (TCS), where set home-climate set-point generally refers to a parameters describing home-temperature and correlation thereof to the outside temperatures.