建筑能耗分析程序因其试图建模的过程的性质而复杂，需要涉及许多参数的详细输入数据。证明结果的有效性，以及诊断计算方法或其计算机实现中的缺陷可能会相应地困难。人们早就认识到，需要对建筑能耗分析规范进行某种形式的验证。在过去二十年中，许多组织（如NREL 1、NIST 2、BRE 3、BEPAC 4、IEA 5）曾多次尝试确定合适的验证程序，但尽管此类程序的使用越来越多，但没有一种标准程序被普遍接受。可以确定三种验证方法（Judkoff，1988年，Bloomfield，1999年），其中一种代码的结果与其他来源的结果进行比较。比较数据的来源可以来自:分析模型、内部模型- 模型比较·经验测试结果。在这些验证方法中，分析测试的使用大多是从真实建筑模拟问题的全部复杂性中抽象出来的，但提供了最确定的参考形式或“真实”模型，可以与之进行比较。由于本质上有点抽象，它们可能对模拟代码的最终用户最不感兴趣，但对代码开发人员来说可能是最有用的，因为它们为诊断算法或其实现的特定问题提供了最清晰的途径。本项目的目标是开发一套分析测试，用于测试建筑能量分析程序的建筑结构方面。为了便于处理，解析解的范围必须有限，并做出一些简化的假设。其目的是帮助验证某些模型和子系统的正常运行- 模型，而不是验证整个测试程序模拟真实情况的能力。根据Boehm（1981）和Blotter（1990）给出的定义，我们对代码验证和验证进行了区分。他们将验证描述为“正确求解方程”，将验证描述为“正确求解方程”。此外，我们使用术语“分析”来表示现实的数学模型，该模型对于给定的一组参数和边界条件具有可分析确定的解。主要研究者:Jeffrey D.Spitler，俄克拉荷马州立大学开展时间:2001年4月发起人:俄克拉荷马州立大学

Building energy analysis programs are, by the nature of the processes they seek to model, complex and require detailed input data involving many parameters. Demonstrating the validity of results, and diagnosing deficiencies in the calculation method or its computer implementation can be correspondingly difficult. The need for some form of validation of building energy analysis codes has been long recognized. A number of attempts have been made over the last two decades to identify suitable validation procedures by a number of organizations (e.g. NREL 1, NIST 2, BRE 3, BEPAC 4, IEA 5 ) but no standard procedures have been universally accepted despite the proliferation and increased use of such programs. Three types of validation methods can be identified (Judkoff, 1988, Bloomfield 1999) in which results from one code are compared with results from other sources. The sources of comparison data can come from: · analytical models, · inter-model comparisons · empirical test results. Of these approaches to validation the use of analytical tests are most abstracted from the full complexities of real building simulation problems but offer the most certain form of reference or 'truth' model with which comparisons can be made. Being slightly abstract in nature they may be of least interest to the end user of simulation codes but are arguably the most useful to the code developer in that they offer the clearest path to diagnosis of specific problems with the algorithms or their implementation. It is the objective of this project to develop a suite of analytical tests to be used in testing the building fabric aspects of building energy analysis programs. Analytical solutions, in order to be tractable, have to be limited in scope and make a number of simplifying assumptions. Their purpose is to help in verification of the proper functioning of certain models and sub-models, rather than validation of the whole test program's ability to model real situations. We make the distinction between code verification and validation following the definitions given by Boehm (1981) and Blotter (1990). They described verification as "solving the equations right" and validation as "solving the right equations". Furthermore, we use the term analytical to mean a mathematical model of reality that has an analytically determinable solution for a given set of parameters and boundary conditions.Principal Investigator: Jeffrey D. Spitler, Oklahoma State UniversityConducted: April 2001Sponsored by: Oklahoma State University